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In this paper, an efficient and robust Cartesian Mesh Generation with Local Refinement for an Immersed Boundary Approach is proposed, whose key feature is the capability of high Reynolds number simulations by the use of wall function models, bypassing the need for accurate boundary layer discretization. Starting from the discrete manifold model of the object to be analyzed, the proposed model generates Cartesian adaptive grids for a CFD simulation, with minimal user interactions; the most innovative aspect of this approach is that the automatic generation is based on the segmentation of the surfaces enveloping the object to be analyzed. The aim of this paper is to show that this automatic workflow is robust and enables to get quantitative results on geometrically complex configurations such as marine vehicles. To this purpose, the proposed methodology has been applied to the simulation of the flow past a BB2 submarine, discretized by non-uniform grid density. The obtained results are comparable with those obtained by classical body-fitted approaches but with a significant reduction of the time required for the mesh generation.
Luca Di Angelo; Francesco Duronio; Angelo De Vita; Andrea Di Mascio. Cartesian Mesh Generation with Local Refinement for Immersed Boundary Approaches. Journal of Marine Science and Engineering 2021, 9, 572 .
AMA StyleLuca Di Angelo, Francesco Duronio, Angelo De Vita, Andrea Di Mascio. Cartesian Mesh Generation with Local Refinement for Immersed Boundary Approaches. Journal of Marine Science and Engineering. 2021; 9 (6):572.
Chicago/Turabian StyleLuca Di Angelo; Francesco Duronio; Angelo De Vita; Andrea Di Mascio. 2021. "Cartesian Mesh Generation with Local Refinement for Immersed Boundary Approaches." Journal of Marine Science and Engineering 9, no. 6: 572.
From archaeological excavations, huge quantities of material are recovered, usually in the form of fragments. Their correct interpretation and classification are laborious and time-consuming and requires measurement, analysis and comparison of several items. Basing these activities on quantitative methods that process 3D digital data from experimental measurements allows optimizing the entire restoration process, making it faster, more accurate and cheaper. The 3D point clouds, captured by the scanning process, are raw data that must be properly processed to be used in automatic systems for the analysis of archeological finds. This paper focuses on the integration of a shape feature recognizer, able to support the semantic decomposition of the ancient artifact into archaeological features, with a structured database, able to query the large amount of information extracted. Through the automatic measurement of the dimensional attributes of the various features, it is possible to facilitate the comparative analyses between archaeological artifacts and the inferences of the archaeologist and to reduce the routine work. Here, a dedicated database has been proposed, able to store the information extracted from huge quantities of archaeological material using a specific shape feature recognizer. This information is useful for making comparisons but also to improve the archaeological knowledge. The database has been implemented and used for the identification of pottery fragments and the reconstruction of archaeological vessels. Reconstruction, in particular, often requires the solution of complex problems, especially when it involves types of potsherds that cannot be treated with traditional methods.
Luca Di Angelo; Paolo Di Stefano; Emanuele Guardiani; Anna Morabito. A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds. Sensors 2021, 21, 978 .
AMA StyleLuca Di Angelo, Paolo Di Stefano, Emanuele Guardiani, Anna Morabito. A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds. Sensors. 2021; 21 (3):978.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Emanuele Guardiani; Anna Morabito. 2021. "A 3D Informational Database for Automatic Archiving of Archaeological Pottery Finds." Sensors 21, no. 3: 978.
The problem of matching fragments of three-dimensional (3D) objects has gained increasing attention, and several approaches have been developed to solve this problem. To date, however, to the best knowledge of the authors, there is no computer-based method supporting archaeologists in this activity. For this purpose, in this paper, a semi-automatic approach is proposed for the reconstruction of archaeological pottery fragments based on two-dimensional (2D) images. Firstly, the method, considering the curves as features, involves the extraction of edge curves by applying the Canny filter algorithm to the fragments’ image. Next, the wavelet transformation method is used to fit the edge curves and obtain the approximation coefficients. Then, the correlation coefficients between fragments are computed and the matching of fragments is done by comparing their values. The proposed approach is tested on some real cases. The results of the experimentation show, if compared with the state-of-the-art, that the method seems to be efficient and accurate in the reconstruction of pottery from 2D images of their fragments.
Dariush Eslami; Luca Di Angelo; Paolo Di Stefano; Emanuele Guardiani. A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D Images Using Wavelet Transformation. Heritage 2021, 4, 76 -89.
AMA StyleDariush Eslami, Luca Di Angelo, Paolo Di Stefano, Emanuele Guardiani. A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D Images Using Wavelet Transformation. Heritage. 2021; 4 (1):76-89.
Chicago/Turabian StyleDariush Eslami; Luca Di Angelo; Paolo Di Stefano; Emanuele Guardiani. 2021. "A Semi-Automatic Reconstruction of Archaeological Pottery Fragments from 2D Images Using Wavelet Transformation." Heritage 4, no. 1: 76-89.
Additive manufacturing is a technology for quickly fabricating physical models, functional prototypes, and small batches of parts by stacking two-dimensional layered features directly from computer-aided design data. One of the most important challenges in this sector relates to the capability to predict the build time in advance, since this is crucial to evaluating the production costs. In this paper, an accurate method for obtaining build-time is proposed. This method is based on an advanced GCode analyzer written in Python following an object-oriented paradigm for scalability and maintainability. Various examples are used to demonstrate the reliability of the algorithm, while its potential applications are also illustrated.
Luca Di Angelo; Paolo Di Stefano; Emanuele Guardiani. An advanced GCode analyser for predicting the build time for additive manufacturing components. ACTA IMEKO 2020, 9, 30 -38.
AMA StyleLuca Di Angelo, Paolo Di Stefano, Emanuele Guardiani. An advanced GCode analyser for predicting the build time for additive manufacturing components. ACTA IMEKO. 2020; 9 (4):30-38.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Emanuele Guardiani. 2020. "An advanced GCode analyser for predicting the build time for additive manufacturing components." ACTA IMEKO 9, no. 4: 30-38.
By additive manufacturing technologies, an object is produced deposing material layer by layer. The piece grows along the build direction, which is one of the main manufacturing parameters of Additive Manufacturing (AM) technologies to be set-up. This process parameter affects the cost, quality, and other important properties of the manufactured object. In this paper, the Objective Functions (OFs), presented in the literature for the search of the optimal build direction, are considered and reviewed. The following OFs are discussed: part quality, surface quality, support structure, build time, manufacturing cost, and mechanical properties. All of them are distinguished factors that are affected by build direction. In the first part of the paper, a collection of the most significant published methods for the estimation of the factors that most influence the build direction is presented. In the second part, a summary of the optimization techniques adopted from the reviewed papers is presented. Finally, the advantages and disadvantages are briefly discussed and some possible new fields of exploration are proposed.
Luca Di Angelo; Paolo Di Stefano; Emanuele Guardiani. Search for the Optimal Build Direction in Additive Manufacturing Technologies: A Review. Journal of Manufacturing and Materials Processing 2020, 4, 71 .
AMA StyleLuca Di Angelo, Paolo Di Stefano, Emanuele Guardiani. Search for the Optimal Build Direction in Additive Manufacturing Technologies: A Review. Journal of Manufacturing and Materials Processing. 2020; 4 (3):71.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Emanuele Guardiani. 2020. "Search for the Optimal Build Direction in Additive Manufacturing Technologies: A Review." Journal of Manufacturing and Materials Processing 4, no. 3: 71.
Potteries are the most numerous finds found in archaeological excavations; they are often used to get information about the history, economy, and art of a site. Archaeologists rarely find complete vases but, generally, damaged and in fragments, often mixed with other pottery groups. By using the traditional manual method, the analysis and reconstruction of sherds are performed by a skilled operator. Reviewed papers provided evidence that the traditional method is not reproducible, not repeatable, time-consuming and its results have great uncertainties. To overcome the aforementioned limits, in the last years, researchers have made efforts to develop computer-based methods for archaeological ceramic sherds analysis, aimed at their reconstruction. To contribute to this field of study, in this paper, a comprehensive analysis of the most important available publications until the end of 2019 is presented. This study, focused on pottery fragments only, is performed by collecting papers in English by the Scopus database using the following keywords: “computer methods in archaeology", "3D archaeology", "3D reconstruction", "automatic feature recognition and reconstruction", "restoration of pottery shape relics”. The list is completed by additional references found through the reading of selected papers. The 53 selected papers are divided into three periods of time. According to a detailed review of the performed studies, the key elements of each analyzed method are listed based on data acquisition tools, features extracted, classification processes, and matching techniques. Finally, to overcome the actual gaps some recommendations for future researches are proposed.Highlights:The traditional manual method for reassembling sherds is very time-consuming and costly; it also requires a great deal effort from skilled archaeologists in repetitive and routine activities.Computer-based methods for archaeological ceramic sherds reconstruction can help archaeologists in the above-mentioned repetitive and routine activities.In this paper, the state-of-the-art computer-based methods for archaeological ceramic sherds reconstruction are reviewed, and some recommendations for future researches are proposed.
Dariush Eslami; Luca Di Angelo; Paolo Di Stefano; Caterina Pane. Review of computer-based methods for archaeological ceramic sherds reconstruction. Virtual Archaeology Review 2020, 11, 34 -49.
AMA StyleDariush Eslami, Luca Di Angelo, Paolo Di Stefano, Caterina Pane. Review of computer-based methods for archaeological ceramic sherds reconstruction. Virtual Archaeology Review. 2020; 11 (23):34-49.
Chicago/Turabian StyleDariush Eslami; Luca Di Angelo; Paolo Di Stefano; Caterina Pane. 2020. "Review of computer-based methods for archaeological ceramic sherds reconstruction." Virtual Archaeology Review 11, no. 23: 34-49.
Luca DiAngelo; Paolo Distefano; Cristina Renzi; Francesco Leali. A Design Methodology for an Innovative Racing Mini Motorcycle Frame. Computer-Aided Design and Applications 2020, 17, 1 .
AMA StyleLuca DiAngelo, Paolo Distefano, Cristina Renzi, Francesco Leali. A Design Methodology for an Innovative Racing Mini Motorcycle Frame. Computer-Aided Design and Applications. 2020; 17 (6):1.
Chicago/Turabian StyleLuca DiAngelo; Paolo Distefano; Cristina Renzi; Francesco Leali. 2020. "A Design Methodology for an Innovative Racing Mini Motorcycle Frame." Computer-Aided Design and Applications 17, no. 6: 1.
(1) Background: The visual impact of artificial infrastructures on natural landscapes generates a common negative perception in public opinion. However, as in the case of electrical energy, the increasing demand for power supply and its need for capillary distribution require the installation of new lines, commonly overhead lines with tall tower-like pylons. In most countries, this situation is faced with many attempts of solutions, as participatory workshops and design contests. Nevertheless, the solutions are usually not further developed into real structures due to many limitations (e.g., regulatory, safety, lack of feasibility). (2) Methods: This paper presents a systematic method for the design of tower-like pylons (e.g., electric ones) able to improve the visual quality on the landscape areas in which they will be installed. The method identifies a design strategy that advantageously exploits the inevitable visual impact of pylons on the landscape by integrating the symbolic morphology and the topologically optimized pylon structure from the earliest design phases. (3) Results: The resulting structure is designed in three steps. First, a concept is morphologically developed by integrating symbolic references to the landscape, environment, or cultural society. Second, the concept is topologically optimized, by reducing the structural weight and its visual impact, and respecting regulatory requirements. Third, the resulting structure is engineered and embodied into an industrially feasible layout. (4) Conclusions: The method is able to develop an original, brand new tower-like pylon integrating all the types of requirements, such as regulatory, industrial feasibility, and social components’ needs. The resulting electricity pylon presents an enhanced visual quality according to the citizens’ feedback.
Luca Di Angelo; Francesco Gherardini; Paolo Di Stefano; Francesco Leali. Design for Visual Quality Enhancement of Artificial Infrastructure Facilities: An Application to Electricity Pylons. Applied Sciences 2020, 10, 1131 .
AMA StyleLuca Di Angelo, Francesco Gherardini, Paolo Di Stefano, Francesco Leali. Design for Visual Quality Enhancement of Artificial Infrastructure Facilities: An Application to Electricity Pylons. Applied Sciences. 2020; 10 (3):1131.
Chicago/Turabian StyleLuca Di Angelo; Francesco Gherardini; Paolo Di Stefano; Francesco Leali. 2020. "Design for Visual Quality Enhancement of Artificial Infrastructure Facilities: An Application to Electricity Pylons." Applied Sciences 10, no. 3: 1131.
In both these cases a fast and valid build time estimator, which can work with a few input data deducible from geometric model, is required. In the proposed paper a reliable parametric-based method to determine the build time for additive manufactured objects is provided. The implemented method is based on a back-propagation artificial neural network, which gives the possibility to implement the complex functions that elapse some driving build-time factors and the build time. The neural network training is based on data provided by a properly developed analyzer of the list of commands given to AM machines, which performs an analytical estimation of the build time. The implementation of the proposed methodology is illustrated and some comparisons between the real and estimated build-time are provided, then the results are critically analyzed.
Luca Di Angelo; Paolo Di Stefano; Emanuele Guardiani; Emanuele Guardiani. A Build-Time Estimator for Additive Manufactured Objects. Recent Advances in Computational Mechanics and Simulations 2019, 925 -935.
AMA StyleLuca Di Angelo, Paolo Di Stefano, Emanuele Guardiani, Emanuele Guardiani. A Build-Time Estimator for Additive Manufactured Objects. Recent Advances in Computational Mechanics and Simulations. 2019; ():925-935.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Emanuele Guardiani; Emanuele Guardiani. 2019. "A Build-Time Estimator for Additive Manufactured Objects." Recent Advances in Computational Mechanics and Simulations , no. : 925-935.
Secondary features, such as fillets, rounds, chamfers and grooves, are simple transitions between primary features, generally introduced in order to remove the sharp edges created by the intersection of primary features. Being able to distinguish secondary from primary features is important in various application contexts, such as reverse engineering, automatic geometric inspection of real scanned objects, and for preparation of models for FEM analysis and CNC tool-path generation. The process for the recognition of secondary features from high-density tessellated models of real work-pieces is intrinsically complex for several reasons. This explains why, currently, there are no methodologies able to recognize automatically secondary features and the investigation on secondary features is mostly focused on B-Rep models. In a previous paper, the authors proposed a method for secondary features recognition from discrete geometric models synthetically generated. Here the methodology is extended to discrete geometric models experimentally acquired, for which the recognition is a very complex process, due to the object discretization, to its non-ideal geometry and to measurement errors.
Luca Di Angelo; Paolo Di Stefano; Anna Eva Morabito. Automatic Segmentation of Constant Radius Secondary Features from Real Objects. Recent Advances in Computational Mechanics and Simulations 2019, 201 -212.
AMA StyleLuca Di Angelo, Paolo Di Stefano, Anna Eva Morabito. Automatic Segmentation of Constant Radius Secondary Features from Real Objects. Recent Advances in Computational Mechanics and Simulations. 2019; ():201-212.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Anna Eva Morabito. 2019. "Automatic Segmentation of Constant Radius Secondary Features from Real Objects." Recent Advances in Computational Mechanics and Simulations , no. : 201-212.
The construction of the artificial emissary of Fucino Lake is one of the most ambitious engineering buildings of antiquity. It was the longest tunnel ever made until the 19th century and, due to the depth of the adduction inlet, it required a monumental and complex incile, which, for functionality, cannot be compared to other ancient emissaries. The Roman emissary and its "incile" (Latin name of the inlet structure) were almost completely destroyed in the 19th century, when Fucino Lake was finally dried. Today, only few auxiliary structures such as wells, tunnels, and winzes remain of this ancient work. As evidence of the ancient incile remains a description made by those who also destroyed it and some drawings made by travelers who, on various occasions, visited the site. This paper presents a virtual reconstruction of the Roman incile, obtained both through the philological study of the known documentation, interpreting iconographic sources that represent the last evidence of this structure, and through the survey on the territory. The main purpose is to understand its technical functionalities, the original structures, and its evolution during the time, taking into account the evolution of the Fucino Lake water levels, technological issues, and finally offering its visual reconstruction.
Luca Di Angelo; Paolo Di Stefano; Emanuele Guardiani; Anna Eva Morabito; Caterina Pane. 3D Virtual Reconstruction of the Ancient Roman Incile of the Fucino Lake. Sensors 2019, 19, 3505 .
AMA StyleLuca Di Angelo, Paolo Di Stefano, Emanuele Guardiani, Anna Eva Morabito, Caterina Pane. 3D Virtual Reconstruction of the Ancient Roman Incile of the Fucino Lake. Sensors. 2019; 19 (16):3505.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Emanuele Guardiani; Anna Eva Morabito; Caterina Pane. 2019. "3D Virtual Reconstruction of the Ancient Roman Incile of the Fucino Lake." Sensors 19, no. 16: 3505.
The accurate location of the mid-sagittal plane is fundamental for the assessment of craniofacial dysmorphisms and for a proper corrective surgery planning. To date, these elaborations are carried out by skilled operators within specific software environments. Since the whole procedure is based on the manual selection of specific landmarks, it is time-consuming, and the results depend on the operators’ professional experience. This work aims to propose a new automatic and landmark-independent technique which is able to extract a reliable mid-sagittal plane from 3D CT images. The algorithm has been designed to perform a robust evaluation, also in the case of large defect areas. The presented method is an upgraded version of a mirroring-and registration technique for the automatic symmetry plane detection of 3D asymmetrically scanned human faces, previously published by the authors. With respect to the published algorithm, the improvements here introduced concern both the objective function formulation and the method used to minimize it. The automatic method here proposed has been verified in the analysis of real craniofacial skeletons also with large defects, and the results have been compared with other recent technologies.
Luca Di Angelo; Paolo Di Stefano; Lapo Governi; Antonio Marzola; Yary Volpe. A Robust and Automatic Method for the Best Symmetry Plane Detection of Craniofacial Skeletons. Symmetry 2019, 11, 245 .
AMA StyleLuca Di Angelo, Paolo Di Stefano, Lapo Governi, Antonio Marzola, Yary Volpe. A Robust and Automatic Method for the Best Symmetry Plane Detection of Craniofacial Skeletons. Symmetry. 2019; 11 (2):245.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Lapo Governi; Antonio Marzola; Yary Volpe. 2019. "A Robust and Automatic Method for the Best Symmetry Plane Detection of Craniofacial Skeletons." Symmetry 11, no. 2: 245.
Fillets, rounds, chamfers and grooves are secondary features which are typically present in real manufactured mechanical components to satisfy some manufacturing and functional requirements. Despite the broad array of research conducted on feature recognition, the investigation of secondary features is a relatively new topic. All of the pertinent studies have been focussed only on the recognition of secondary features from B-Rep models. The recognition and segmentation of secondary features from a discrete model is a non-trivial problem due to the same geometric descriptors that may be applied to both primary and secondary features. Moreover, although in real-world mechanical parts primary features are planes, cylinders or cones, the secondary features may be non-analytical and complex-shaped geometries. Further sources of uncertainty are the measurement errors and non-ideal geometries of the real objects to which the method is applied. To overcome these problems, a new and original method to segment secondary features of tessellated geometric models is proposed. The method is based on the analysis of geometric-differential properties and provides specific strategies that reduce its sensitivity to all of the above-mentioned uncertainties without affecting its selectivity. The proposed method, described in detail in this paper, is tested in some very critical cases, and the results are presented and discussed.
L. Di Angelo; P. Di Stefano; A.E. Morabito. Fillets, rounds, grooves and sharp edges segmentation from 3D scanned surfaces. Computer-Aided Design 2019, 110, 78 -91.
AMA StyleL. Di Angelo, P. Di Stefano, A.E. Morabito. Fillets, rounds, grooves and sharp edges segmentation from 3D scanned surfaces. Computer-Aided Design. 2019; 110 ():78-91.
Chicago/Turabian StyleL. Di Angelo; P. Di Stefano; A.E. Morabito. 2019. "Fillets, rounds, grooves and sharp edges segmentation from 3D scanned surfaces." Computer-Aided Design 110, no. : 78-91.
With the aim to reduce the uncertainties of the traditional archaeological approach and reduce costs for ceramic investigation, in this paper a computer-based method is proposed. A discrete geometric model of a pottery fragment is the starting input, from which a first distinction in axially and not-axially symmetric surfaces can be done. Geometrical and morphological features are then recognized. Only once that all this information is obtained, it is possible to proceed with the dimensional analysis. The analysis carried on the test case here illustrated proves that the automatic method presents accuracy and robustness not achievable even using the best application of the archaeological method. This method seems to be functional to other goals, such as for pottery classification and reconstruction of ancient ceramics.
L. Di Angelo; P. Di Stefano; C. Pane. An automatic method for pottery fragments analysis. Measurement 2018, 128, 138 -148.
AMA StyleL. Di Angelo, P. Di Stefano, C. Pane. An automatic method for pottery fragments analysis. Measurement. 2018; 128 ():138-148.
Chicago/Turabian StyleL. Di Angelo; P. Di Stefano; C. Pane. 2018. "An automatic method for pottery fragments analysis." Measurement 128, no. : 138-148.
In this paper, a method for determining the best choice of the 3D scanner for cultural heritage applications is presented. Generally speaking, this activity is not trivial since a 3D scanner that matches all the requirements of a typical preservation activity in cultural heritage does not exist. Thus, to the best of the authors’ knowledge, the choice of compromise is typically performed in an unstructured way. In order to structure this choice, a method based on the Analytic Hierarchy Process (AHP) is proposed. In the proposed method, the three levels of the AHP hierarchy structure are the selection of the best 3D scanner for a specific cultural heritage application (goal), the most important technical parameters that mainly affect the choice of a 3D scanner (criteria), and the devices matching the required resolution (alternatives). Having defined the goal, prioritization of the type and quality of information is performed by the team leader of the research group (typically a skilled archaeologist), while the priority of the pairwise comparison among alternatives is decided by an expert on 3D scanners. The application of the proposed method in two contrasting situations concerning pottery fragments highlights its ease of use, its robustness (confirmed by the consistency analysis), and the completeness of the technical and economic assessment (since all relevant elements are taken into account), which put together, in a structured way, competences in very different fields (archaeology and 3D digital devices).
Luca Di Angelo; Paolo Di Stefano; Luciano Fratocchi; Antonio Marzola. An AHP-based method for choosing the best 3D scanner for cultural heritage applications. Journal of Cultural Heritage 2018, 34, 109 -115.
AMA StyleLuca Di Angelo, Paolo Di Stefano, Luciano Fratocchi, Antonio Marzola. An AHP-based method for choosing the best 3D scanner for cultural heritage applications. Journal of Cultural Heritage. 2018; 34 ():109-115.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano; Luciano Fratocchi; Antonio Marzola. 2018. "An AHP-based method for choosing the best 3D scanner for cultural heritage applications." Journal of Cultural Heritage 34, no. : 109-115.
L. Di Angelo; P. Di Stefano; A.E. Morabito; C. Pane. Measurement of constant radius geometric features in archaeological pottery. Measurement 2018, 124, 138 -146.
AMA StyleL. Di Angelo, P. Di Stefano, A.E. Morabito, C. Pane. Measurement of constant radius geometric features in archaeological pottery. Measurement. 2018; 124 ():138-146.
Chicago/Turabian StyleL. Di Angelo; P. Di Stefano; A.E. Morabito; C. Pane. 2018. "Measurement of constant radius geometric features in archaeological pottery." Measurement 124, no. : 138-146.
The construction of artificial emissary of Lake Fucino's represents one of the most significant engineering challenges that took place in antiquity. Unfortunately, the imposing structure of the Roman emissary was almost completely erased from the building of the late nineteenth century, constructed for the final drying of the lake. This article presents its virtual reconstruction, to understand the technological issues met by Romans and to visually offer reconstruction theories starting from interpreting of the few Roman remains. So that, engineering resources are used to try to understand unresolved issues in archaeology.
L Di Angelo; P Di Stefano; C Pane. The 3D virtual reconstruction of an engineering work of the past. IOP Conference Series: Materials Science and Engineering 2018, 364, 012010 .
AMA StyleL Di Angelo, P Di Stefano, C Pane. The 3D virtual reconstruction of an engineering work of the past. IOP Conference Series: Materials Science and Engineering. 2018; 364 (1):012010.
Chicago/Turabian StyleL Di Angelo; P Di Stefano; C Pane. 2018. "The 3D virtual reconstruction of an engineering work of the past." IOP Conference Series: Materials Science and Engineering 364, no. 1: 012010.
Luca Di Angelo; Paolo Di Stefano. Axis estimation of thin-walled axially symmetric solids. Pattern Recognition Letters 2018, 106, 47 -52.
AMA StyleLuca Di Angelo, Paolo Di Stefano. Axis estimation of thin-walled axially symmetric solids. Pattern Recognition Letters. 2018; 106 ():47-52.
Chicago/Turabian StyleLuca Di Angelo; Paolo Di Stefano. 2018. "Axis estimation of thin-walled axially symmetric solids." Pattern Recognition Letters 106, no. : 47-52.
Additive manufacturing technologies produce objects which present a characteristic surface texture. This is an inevitable and systematic error and has a predictable shape feature which depends on certain process parameters. In order to reduce manufacturing costs and obtain the best results from the point of view of quality, it is essential to predict this error in advance and choose the process parameters which minimise it. For the purpose of measuring the surface quality, the index Ra (ISO 4287, 1997) is used in the related literature. In this paper, it is first demonstrated that the use of roughness parameters in FDM-manufactured surfaces is not adequate to quantify the surface error. The parameter Pa (ISO 4287) is proposed as a more appropriate index to evaluate the surface quality; it is investigated and critically analysed in comparison with the Ra index. A new original model to predict Pa for FDM-manufactured surfaces is presented. The model prediction is compared with experimental data and with the estimation performed by the models described in the literature, within the limits of their capability to predict Pa.
Luca Di Angelo; P. Di Stefano; Antonio Marzola. Surface quality prediction in FDM additive manufacturing. The International Journal of Advanced Manufacturing Technology 2017, 93, 3655 -3662.
AMA StyleLuca Di Angelo, P. Di Stefano, Antonio Marzola. Surface quality prediction in FDM additive manufacturing. The International Journal of Advanced Manufacturing Technology. 2017; 93 (9-12):3655-3662.
Chicago/Turabian StyleLuca Di Angelo; P. Di Stefano; Antonio Marzola. 2017. "Surface quality prediction in FDM additive manufacturing." The International Journal of Advanced Manufacturing Technology 93, no. 9-12: 3655-3662.
A new method for secondary features segmentation, performed on high-density tessellated geometric models, is proposed. Four types of secondary features are considered: fillets, rounds and grooves. Sharp edges are also recognised. The method is based on an algorithm that analyses the principal curvatures. The nodes, potentially attributable to a fillet of given geometry, are those with a certain value for the maximum principal curvature. Since the deterministic application of this simple working principle shows several problems, due to the uncertainties in the curvature estimation, a fuzzy approach is proposed. In order to segment the nodes of a tessellated model belonging to secondary features of a given radius, an appropriate set of membership functions is defined and evaluated based on some parameters, which affect the quality of the curvature estimation. A region-growing algorithm connects the nodes pertaining to a same secondary feature so that, for a given radius, one or more secondary features may be recognized. The method is applied and verified in some test cases.
L. Di Angelo; P. Di Stefano; A. E. Morabito. Secondary features segmentation from high-density tessellated surfaces. International Journal on Interactive Design and Manufacturing (IJIDeM) 2017, 12, 801 -809.
AMA StyleL. Di Angelo, P. Di Stefano, A. E. Morabito. Secondary features segmentation from high-density tessellated surfaces. International Journal on Interactive Design and Manufacturing (IJIDeM). 2017; 12 (3):801-809.
Chicago/Turabian StyleL. Di Angelo; P. Di Stefano; A. E. Morabito. 2017. "Secondary features segmentation from high-density tessellated surfaces." International Journal on Interactive Design and Manufacturing (IJIDeM) 12, no. 3: 801-809.