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Additive manufacturing is a technology that is influencing every facet of manufacturing such as casting. 3D printing in particular has the potential to revolutionize castings in terms of precision and time taken in production. Patternless molds increase the efficiency of the casting process for large scale manufactured components. Therefore, ceramic based molds can be utilized for low temperature alloy parts such as mounting brackets. Nowadays, 3D printing technologies allow the direct printing of these molds. This is possible with the aid of CAD modelling of the casting mold which allows instant printing of patternless molds. The aim of this work is to introduce an approach to prepare a 3D design for a casting mold that can be manufactured using 3D printing technology. Mold design was made using Solidworks software according to standardized calculations from which cope and drag components were extracted. Candidates for potential mold material are highlighted along with advantages & limitations of utilizing 3D printing methodology.
Taha Waqar; Muhammad Azhar Ali Khan; Muhammad Asad; Faramarz Djavanroodi; Jamal Nayfeh. Design and Development of a Mold for Patternless Casting Using AM/3D Printing. Materials Science Forum 2021, 1033, 98 -102.
AMA StyleTaha Waqar, Muhammad Azhar Ali Khan, Muhammad Asad, Faramarz Djavanroodi, Jamal Nayfeh. Design and Development of a Mold for Patternless Casting Using AM/3D Printing. Materials Science Forum. 2021; 1033 ():98-102.
Chicago/Turabian StyleTaha Waqar; Muhammad Azhar Ali Khan; Muhammad Asad; Faramarz Djavanroodi; Jamal Nayfeh. 2021. "Design and Development of a Mold for Patternless Casting Using AM/3D Printing." Materials Science Forum 1033, no. : 98-102.
Contaminated site management is currently a critical problem area all over the world, which opens a wide discussion in the areas of policy, research and practice at national and international levels. Conventional site management and remediation techniques are often aimed at reducing the contaminant levels to an acceptable level in a short period of time at low cost. Owing to the fact that the conventional approach may not be sustainable as it overlooks many ancillary environmental effects, there is an immense need of “sustainable” or “green” approaches. Green approaches address environmental, social and economic impacts throughout the remediation process and are capable of conserving the natural resources and protecting air, water and soil quality through reduced emissions and other waste burdens. This paper presents a methodology to quantify the environmental footprint of a cleanup for a hypothetical contaminated site by using the US Environmental Protection Agency’s (EPA) Spreadsheet for Environmental Footprint Assessment (SEFA). The hypothetical contaminated site is selected from a metropolitan city of Pakistan and the environmental footprint of the cleanup is analyzed under three different scenarios: cleanup without any renewable energy sources at all, cleanup with a small share of renewable energy sources, and cleanup with a large share of renewable energy sources. It is concluded that integration of renewable energy sources into the remedial system design is a promising idea which can reduce CO2, NOx, SOx, PM and HAP emissions up to 68%.
Muhammad Khan; Zakria Qadir; Muhammad Asad; Abbas Kouzani; M. Parvez Mahmud. Environmental Footprint Assessment of a Cleanup at Hypothetical Contaminated Site. Applied Sciences 2021, 11, 4907 .
AMA StyleMuhammad Khan, Zakria Qadir, Muhammad Asad, Abbas Kouzani, M. Parvez Mahmud. Environmental Footprint Assessment of a Cleanup at Hypothetical Contaminated Site. Applied Sciences. 2021; 11 (11):4907.
Chicago/Turabian StyleMuhammad Khan; Zakria Qadir; Muhammad Asad; Abbas Kouzani; M. Parvez Mahmud. 2021. "Environmental Footprint Assessment of a Cleanup at Hypothetical Contaminated Site." Applied Sciences 11, no. 11: 4907.
Magnesium alloys are biocompatible materials that are not only used in biomedical implants but also in many engineering load-bearing applications due to their high strength to density ratio. However, machining of these alloys is somehow challenging, for example, magnesium alloy (AZ31B) is prone to ignition risk at relatively low temperatures during various machining processes. This ignition risk can be avoided by performing machining under cryogenic conditions. In the present research work, 2D finite element-based analysis of orthogonal cutting process of magnesium alloy (AZ31B) is performed considering both cryogenic and dry machining environments. Finite element simulations are performed by varying the cutting speed and uncut chip thickness. A widely employed, damage-based Johnson-Cook flow stress model is exploited to perform coupled thermo-mechanical cutting simulations. Cutting forces and temperatures are the major output parameters of interest in the work. The resultant cutting forces predicted by FE analysis for cutting speed of 100 m/min and for uncut chip thickness of 0.1 mm vary by 19% and 16% for cryogenic and dry machining conditions, respectively, when compared with available experimental results from literature, whereas, in the workpiece body, temperature variations of 14% and 2% have been found for cryogenic and dry machining conditions, respectively. Promising results of numerical model may help to further investigate and optimize the process.
Hassan Ijaz; Muhammad Asad; Mohd Danish; Munish Kumar Gupta; Muhammad Ehtisham Siddiqui; Ahmed Al-Zahrani. Numerical investigations of cutting temperature and cutting forces in cryogenic assisted turning of magnesium alloy. The International Journal of Advanced Manufacturing Technology 2021, 114, 1991 -2001.
AMA StyleHassan Ijaz, Muhammad Asad, Mohd Danish, Munish Kumar Gupta, Muhammad Ehtisham Siddiqui, Ahmed Al-Zahrani. Numerical investigations of cutting temperature and cutting forces in cryogenic assisted turning of magnesium alloy. The International Journal of Advanced Manufacturing Technology. 2021; 114 (7-8):1991-2001.
Chicago/Turabian StyleHassan Ijaz; Muhammad Asad; Mohd Danish; Munish Kumar Gupta; Muhammad Ehtisham Siddiqui; Ahmed Al-Zahrani. 2021. "Numerical investigations of cutting temperature and cutting forces in cryogenic assisted turning of magnesium alloy." The International Journal of Advanced Manufacturing Technology 114, no. 7-8: 1991-2001.
This research work presents a numerical study of the orthogonal cutting process employing a finite element approach to optimize dry machining of aluminium alloy 2024. The main objective of the research work is to perform three-dimensional finite element simulations for a better understanding of temperature distribution and residual stresses development in the workpiece and tool regions along depth of cut direction. While, two-dimensional models don't predict true picture of aforesaid parameters along cutting depth due to material's out of plane flow and deformation. In the present study, effects of tool rake angles (7°, 14°, 21°) and cutting speeds (200, 400, 800 m/min) upon variations in chip geometry at various sections along workpiece width (depth of cut) have been discussed at large. Furthermore, cutting forces and tool-workpiece temperature profiles are also in depth analysed. The findings will lead the manufacturers to better decide post machining processes like heat treatment, deburring, surface treatments, etc. The results showed that a combination of a rake angle of 14° at cutting velocity of 800 m/min produces serrated chip segments with relatively moderate cutting forces in comparison to other parametric combinations. The efficacy of the presented finite element model is verified by comparing the numerically obtained results with experimental ones.
Hassan Ijaz; Mohd Danish; Muhammad Asad; Saeed Rubaiee. A three-dimensional finite element-approach to investigate the optimum cutting parameters in machining AA2024. Mechanics & Industry 2020, 21, 615 .
AMA StyleHassan Ijaz, Mohd Danish, Muhammad Asad, Saeed Rubaiee. A three-dimensional finite element-approach to investigate the optimum cutting parameters in machining AA2024. Mechanics & Industry. 2020; 21 (6):615.
Chicago/Turabian StyleHassan Ijaz; Mohd Danish; Muhammad Asad; Saeed Rubaiee. 2020. "A three-dimensional finite element-approach to investigate the optimum cutting parameters in machining AA2024." Mechanics & Industry 21, no. 6: 615.
An insight into comprehension and optimization of exit burr formation in orthogonal machining case is presented in the work. Formation of exit burr has been simulated using a three dimensional FE based machining model. Variation of “pivot-point” (point of maximum bending stress, appearing at workpiece exit edge) location on workpiece end and its appearance with respect to tool position during cutting process has been correlated with burr formation process. To minimize the burr formation, machining process variables (including speed, feed and tool rake angle) optimization have been realized employing Abaqus®. Burr lengths at exit end along workpiece depth of cut (ap) are quantified and optimum machining parameters generating less burrs for dry machining of AA2024 are identified. Simulated results pertaining to chip and cutting forces are fairly matched with related experimental results in the published literature.
Muhammad Asad; Hassan Ijaz; Muhammad Azhar Ali Khan; Asim Asghar Yaseen; Taha Waqar; Abdul Aziz Afzal. A numerical insight on machining burr formation: A comprehension to optimization approach. Materials Today: Proceedings 2020, 33, 1792 -1799.
AMA StyleMuhammad Asad, Hassan Ijaz, Muhammad Azhar Ali Khan, Asim Asghar Yaseen, Taha Waqar, Abdul Aziz Afzal. A numerical insight on machining burr formation: A comprehension to optimization approach. Materials Today: Proceedings. 2020; 33 ():1792-1799.
Chicago/Turabian StyleMuhammad Asad; Hassan Ijaz; Muhammad Azhar Ali Khan; Asim Asghar Yaseen; Taha Waqar; Abdul Aziz Afzal. 2020. "A numerical insight on machining burr formation: A comprehension to optimization approach." Materials Today: Proceedings 33, no. : 1792-1799.
The effects of different tool edge geometries (hone and chamfer (T-land)) on quantitative measurement of end (exit) burr and chip segmentation (frequency and degree) in machining of AA2024-T351 are presented in this work. The finite element (FE) approach is adopted to perform cutting simulations for various combinations of cutting speed, feed, and tool edge geometries. Results show an increasing trend in degree of chip segmentation and end burr as hone edge tool radius or chamfer tool geometry macro parameters concerning chamfer length and chamfer angle increase. Conversely, the least effects for chip segmentation frequency have been figured out. Statistical optimization techniques, such as response surface methodology, Taguchi`s design of experiment, and analysis of variance (ANOVA), are applied to present predictive models, figure out optimum cutting parameters, and their significance and relative contributions to results of end burr and chip segmentation. Various numerical findings are successfully compared with experimental data. The ultimate goal is to help optimize tool edge design and select optimum cutting parameters for improved productivity.
Muhammad Asad; Asad. Effects of Tool Edge Geometry on Chip Segmentation and Exit Burr: A Finite Element Approach. Metals 2019, 9, 1234 .
AMA StyleMuhammad Asad, Asad. Effects of Tool Edge Geometry on Chip Segmentation and Exit Burr: A Finite Element Approach. Metals. 2019; 9 (11):1234.
Chicago/Turabian StyleMuhammad Asad; Asad. 2019. "Effects of Tool Edge Geometry on Chip Segmentation and Exit Burr: A Finite Element Approach." Metals 9, no. 11: 1234.
This contribution presents three-dimensional turning operation simulations exploiting the capabilities of finite element (FE) based software Abaqus/Explicit. Coupled temperature-displacement simulations for orthogonal cutting on an aerospace grade aluminum alloy AA2024-T351 with the conceived numerical model have been performed. Numerically computed results of cutting forces have been substantiated with the experimental data. Research work aims to contribute in comprehension of the end-burr formation process in orthogonal cutting. Multi-physical phenomena like crack propagation, evolution of shear zones (positive and negative), pivot-point appearance, thermal softening, etc., effecting burr formation for varying cutting parameters have been highlighted. Additionally, quantitative predictions of end burr lengths with foot type chip formation on the exit edge of the machined workpiece for various cutting parameters including cutting speed, feed rate, and tool rake angles have been made. Onwards, to investigate the influence of each cutting parameter on burr lengths and to find optimum values of cutting parameters statistical analyses using Taguchi’s design of experiment (DOE) technique and response surface methodology (RSM) have been performed. Investigations show that feed has a major impact, while cutting speed has the least impact in burr formation. Furthermore, it has been found that the early appearance of the pivot-point on the exit edge of the workpiece surface results in larger end-burr lengths. Results of statistical analyses have been successfully correlated with experimental findings in published literature.
Muhammad Asad; Hassan Ijaz; Waqas Saleem; Abdullah S.B. Mahfouz; Zeshan Ahmad; Tarek Mabrouki. Finite Element Analysis and Statistical Optimization of End-Burr in Turning AA2024. Metals 2019, 9, 276 .
AMA StyleMuhammad Asad, Hassan Ijaz, Waqas Saleem, Abdullah S.B. Mahfouz, Zeshan Ahmad, Tarek Mabrouki. Finite Element Analysis and Statistical Optimization of End-Burr in Turning AA2024. Metals. 2019; 9 (3):276.
Chicago/Turabian StyleMuhammad Asad; Hassan Ijaz; Waqas Saleem; Abdullah S.B. Mahfouz; Zeshan Ahmad; Tarek Mabrouki. 2019. "Finite Element Analysis and Statistical Optimization of End-Burr in Turning AA2024." Metals 9, no. 3: 276.
Zeshan Ahmad; Tipu Sultan; Muhammad Asad; Matteo Zoppi; Rezia Molfino. Erratum to “Fixture layout optimization for multi point respot welding of sheet metals”. Journal of Mechanical Science and Technology 2018, 32, 2967 -2967.
AMA StyleZeshan Ahmad, Tipu Sultan, Muhammad Asad, Matteo Zoppi, Rezia Molfino. Erratum to “Fixture layout optimization for multi point respot welding of sheet metals”. Journal of Mechanical Science and Technology. 2018; 32 (6):2967-2967.
Chicago/Turabian StyleZeshan Ahmad; Tipu Sultan; Muhammad Asad; Matteo Zoppi; Rezia Molfino. 2018. "Erratum to “Fixture layout optimization for multi point respot welding of sheet metals”." Journal of Mechanical Science and Technology 32, no. 6: 2967-2967.
The high quality of welding in the automotive industry is achieved by proper positioning of the fixture elements. A new method, N-3-2-1 (N ≥ 1), is proposed for fixture layout optimization of sheet metals. The flexible nature of the sheet metals requires N+3 fixture elements to constrain it normal to the surface (primary plane), but 2-1 fixture elements for other two directions (secondary and tertiary). The objective function is to achieve high stiffness of the workpiece and is calculated in terms of strain energy. Finite element analysis (FEA) was combined with genetic algorithm. A method was also proposed to find the optimum fixturing position of the workpiece in multipoint respot welding operation. Two different kinds of case studies were solved and the performance of the proposed method was also tested in the industrial scenario by fixturing the workpiece and completing the respot welding operation with satisfactory results.
Zeshan Ahmad; Tipu Sultan; Muhammad Asad; Matteo Zoppi; Rezia Molfino. Fixture layout optimization for multi point respot welding of sheet metals. Journal of Mechanical Science and Technology 2018, 32, 1749 -1760.
AMA StyleZeshan Ahmad, Tipu Sultan, Muhammad Asad, Matteo Zoppi, Rezia Molfino. Fixture layout optimization for multi point respot welding of sheet metals. Journal of Mechanical Science and Technology. 2018; 32 (4):1749-1760.
Chicago/Turabian StyleZeshan Ahmad; Tipu Sultan; Muhammad Asad; Matteo Zoppi; Rezia Molfino. 2018. "Fixture layout optimization for multi point respot welding of sheet metals." Journal of Mechanical Science and Technology 32, no. 4: 1749-1760.
Turning modeling and simulation of different metallic materials using the commercially available Finite Element (FE) softwares is getting prime importance because of saving of time and money in comparison to the costly experiments. Mostly, the numerical analysis of machining process considers a purely isotropic behavior of metallic materials; however, the literature shows that the elastic crystal anisotropy is present in most of the ‘so-called’ isotropic materials. In the present work, the elastic anisotropy is incorporated in the FE simulations along with the effect of grain size. A modified Johnson-Cook ductile material model based on coupled plasticity and damage evolution has been proposed to model the cutting process. The simulation results were compared with experimental data on the turning process of Aluminum alloy (AA2024). It was found that the elastic anisotropy influences the average cutting force up to 5% as compared to the isotropic models while the effect of grain size was more pronounced up to 20%.
Hassan Ijaz; Muhammad Zain-Ul-Abdein; Waqas Saleem; Muhammad Asad; Tarek Mabrouki. Numerical simulation of the effects of elastic anisotropy and grain size upon the machining of AA2024. Machining Science and Technology 2017, 22, 522 -542.
AMA StyleHassan Ijaz, Muhammad Zain-Ul-Abdein, Waqas Saleem, Muhammad Asad, Tarek Mabrouki. Numerical simulation of the effects of elastic anisotropy and grain size upon the machining of AA2024. Machining Science and Technology. 2017; 22 (3):522-542.
Chicago/Turabian StyleHassan Ijaz; Muhammad Zain-Ul-Abdein; Waqas Saleem; Muhammad Asad; Tarek Mabrouki. 2017. "Numerical simulation of the effects of elastic anisotropy and grain size upon the machining of AA2024." Machining Science and Technology 22, no. 3: 522-542.
The rapid heating and cooling in a grinding process may cause phase transformations. This will introduce thermal strains and plastic strains simultaneously in a workpiece with substantial residual stresses. The properties of the workpiece material will change when phase transformation occurs. The extent of such change depends on the temperature history experienced and the instantaneous thermal stresses developed. To carry out a reliable residual stress analysis, a comprehensive modelling technique and a sophisticated computational procedure that can accommodate the property change with the metallurgical change of material need to be developed. The objective of this work is to propose a simplified model to predict phase evolution during given temperature history for heating and cooling as encountered during grinding process. The numerical implementation of the proposed model is carried out through the developed FORTRAN subroutine called PHASE using the FEM commercial software Abaqus®/standard. Micro-structural constituents are defined as state variables. They are computed and updated inside the subroutine PHASE. The heating temperature is assumed to be uniform while the cooling characteristics in relation to phase transformations are obtained from the continuous cooling transformation (CCT) diagram of the given material (here AISI 52100 steel). Four metallurgical phases are assumed for the simulations: austenite, pearlite, bainite, and martensite. It was shown that at low cooling rates high percentage of pearlite phase is obtained when the material is heated and cooled to ambient temperature. Bainite is formed usually at medium cooling rates. Similarly at high cooling rates maximum content of martensite may be observed. It is also shown that the continuous cooling transformation kinetics may be described by plotting the transformation temperature, directly against the cooling rate as an alternative to the continuous cooling transformation diagram. The simulated results are also compared with experimental results of Wever [20] and Hunkle [21] and are found to be in a very good agreement. The model may be used for further thermo-mechanical analysis coupled with phase transformation during grinding process.
Syed Mushtaq Ahmed Shah; M. A. Khattak; Muhammad Asad; Javed Iqbal; Saeed Badshah; M. S. Khan. NUMERICAL MODELING OF PHASE TRANSFORMATION DURING GRINDING PROCESS. Jurnal Teknologi 2017, 79, 1 .
AMA StyleSyed Mushtaq Ahmed Shah, M. A. Khattak, Muhammad Asad, Javed Iqbal, Saeed Badshah, M. S. Khan. NUMERICAL MODELING OF PHASE TRANSFORMATION DURING GRINDING PROCESS. Jurnal Teknologi. 2017; 79 (5):1.
Chicago/Turabian StyleSyed Mushtaq Ahmed Shah; M. A. Khattak; Muhammad Asad; Javed Iqbal; Saeed Badshah; M. S. Khan. 2017. "NUMERICAL MODELING OF PHASE TRANSFORMATION DURING GRINDING PROCESS." Jurnal Teknologi 79, no. 5: 1.
In dry turning operation, various parameters influence the cutting force and contribute in machining precision. Generally, the numerical cutting models are adopted to establish the optimum cutting parameters and results are substantiated with the experimental findings. In this paper, the optimal turning parameters of AA2024-T351 alloy are determined through Abaqus/Explicit numerical cutting simulations by employing the Johnson-Cook thermo-viscoplastic-damage material model. Turning simulations were verified with published experimental data. Considering the constrained and nonlinear optimization problem, the artificial neural networks (ANN) were executed for training, testing, and performance evaluation of the numerical simulations data. Two feedforward backpropagation neural networks were developed with ten hidden neutrons in each hidden layer. The Log-Sigmoid transfer function and the Levenberg-Marquardt algorithm were applied in the model. The ANN models were studied with four input parameters: the cutting speed (200, 400, and 800 m/min), tool rake angle (5°, 10°, 14.8°, and 17.5°), cutting feed (0.3 and 0.4 mm), and the contact friction coefficients (0.1 and 0.15).The two target parameters include the tool-chip interface temperature and the cutting reaction force. The performance of the trained data was evaluated using root-mean-square error and correlation coefficients. The ANN predicted values were compared both with the Abaqus simulations and the published experimental findings. All of the results are found in good approximation to each other. The performance of the ANN models demonstrated the fidelity of solving and predicting the optimum process parameters.
Waqas Saleem; Muhammad Zain-Ul-Abdein; Hassan Ijaz; Abdullah Salmeen Bin Mahfouz; Anas Ahmed; Muhammad Asad; Tarek Mabrouki. Computational Analysis and Artificial Neural Network Optimization of Dry Turning Parameters—AA2024-T351. Applied Sciences 2017, 7, 642 .
AMA StyleWaqas Saleem, Muhammad Zain-Ul-Abdein, Hassan Ijaz, Abdullah Salmeen Bin Mahfouz, Anas Ahmed, Muhammad Asad, Tarek Mabrouki. Computational Analysis and Artificial Neural Network Optimization of Dry Turning Parameters—AA2024-T351. Applied Sciences. 2017; 7 (6):642.
Chicago/Turabian StyleWaqas Saleem; Muhammad Zain-Ul-Abdein; Hassan Ijaz; Abdullah Salmeen Bin Mahfouz; Anas Ahmed; Muhammad Asad; Tarek Mabrouki. 2017. "Computational Analysis and Artificial Neural Network Optimization of Dry Turning Parameters—AA2024-T351." Applied Sciences 7, no. 6: 642.
Mechanical properties of the metals and their alloys are influenced by the material grain size at microscale. In the present study, the Johnson-Cook (JC) material model is modified to incorporate the effect of material's grain size along with the plasticity coupled damage model. 2D finite element (FE) simulations of turning process of an aerospace grade aluminium alloy 2024 (AA2024) were performed with different grain sizes using a commercial FE software, ABAQUS/Explicit. FE simulation results were compared with the published experimental data on turning process of AA2024. The proposed modified JC material model successfully simulated the increase in cutting force as a function of grain size refinement.
H. Ijaz; M. Zain-Ul-Abdein; W. Saleem; Muhammad Asad; T. Mabrouki. Modified Johnson-Cook Plasticity Model with Damage Evolution: Application to Turning Simulation of 2XXX Aluminium Alloy. Journal of Mechanics 2017, 33, 777 -788.
AMA StyleH. Ijaz, M. Zain-Ul-Abdein, W. Saleem, Muhammad Asad, T. Mabrouki. Modified Johnson-Cook Plasticity Model with Damage Evolution: Application to Turning Simulation of 2XXX Aluminium Alloy. Journal of Mechanics. 2017; 33 (6):777-788.
Chicago/Turabian StyleH. Ijaz; M. Zain-Ul-Abdein; W. Saleem; Muhammad Asad; T. Mabrouki. 2017. "Modified Johnson-Cook Plasticity Model with Damage Evolution: Application to Turning Simulation of 2XXX Aluminium Alloy." Journal of Mechanics 33, no. 6: 777-788.
Waqas Saleem; Muhammad Asad; Muhammad Zain-Ul-Abdein; Hassan Ijaz; Tarek Mabrouki. Numerical investigations of optimum turning parameters—AA2024-T351 aluminum alloy. Machining Science and Technology 2016, 20, 634 -654.
AMA StyleWaqas Saleem, Muhammad Asad, Muhammad Zain-Ul-Abdein, Hassan Ijaz, Tarek Mabrouki. Numerical investigations of optimum turning parameters—AA2024-T351 aluminum alloy. Machining Science and Technology. 2016; 20 (4):634-654.
Chicago/Turabian StyleWaqas Saleem; Muhammad Asad; Muhammad Zain-Ul-Abdein; Hassan Ijaz; Tarek Mabrouki. 2016. "Numerical investigations of optimum turning parameters—AA2024-T351 aluminum alloy." Machining Science and Technology 20, no. 4: 634-654.
The understanding of physical parameters of machining processes of aerospace grade aluminium alloy is always of prime importance. The main concern is always to understand the chip formation process and the resultant cutting force experienced by the tool due to different parameters like cutting speeds, feed rate, friction coefficient and tool rake angle etc. The finite element analysis has replaced many expensive and time consuming physical machining processes. In the present work, an extensive study of different parameters affecting the turning process of aluminium alloy (A2024-T351) is performed using finite element analysis. The Johnson-Cook ductile material model based on coupled plasticity and damage evolution is employed to simulate the cutting process. The authenticity of the performed simulation work is verified by comparing the simulation results with available experimental data on machining of aluminium alloy (A2024-T351).DOI: http://dx.doi.org/10.5755/j01.mech.22.2.12825
Hassan Ijaz; M. Zain-Ul-Abdein; W. Saleem; M. Asad; T. Mabrouki. A numerical approach on parametric sensitivity analysis for an aeronautic aluminium alloy turning process. Mechanics 2016, 22, 149 - 155 .
AMA StyleHassan Ijaz, M. Zain-Ul-Abdein, W. Saleem, M. Asad, T. Mabrouki. A numerical approach on parametric sensitivity analysis for an aeronautic aluminium alloy turning process. Mechanics. 2016; 22 (2):149 - 155.
Chicago/Turabian StyleHassan Ijaz; M. Zain-Ul-Abdein; W. Saleem; M. Asad; T. Mabrouki. 2016. "A numerical approach on parametric sensitivity analysis for an aeronautic aluminium alloy turning process." Mechanics 22, no. 2: 149 - 155.
Tarek Mabrouki; Cédric Courbon; Yancheng Zhang; Joël Rech; Daniel Nélias; Muhammad Asad; Hédi Hamdi; Salim Belhadi; Ferdinando Salvatore. Some insights on the modelling of chip formation and its morphology during metal cutting operations. Comptes Rendus Mécanique 2016, 344, 335 -354.
AMA StyleTarek Mabrouki, Cédric Courbon, Yancheng Zhang, Joël Rech, Daniel Nélias, Muhammad Asad, Hédi Hamdi, Salim Belhadi, Ferdinando Salvatore. Some insights on the modelling of chip formation and its morphology during metal cutting operations. Comptes Rendus Mécanique. 2016; 344 (4-5):335-354.
Chicago/Turabian StyleTarek Mabrouki; Cédric Courbon; Yancheng Zhang; Joël Rech; Daniel Nélias; Muhammad Asad; Hédi Hamdi; Salim Belhadi; Ferdinando Salvatore. 2016. "Some insights on the modelling of chip formation and its morphology during metal cutting operations." Comptes Rendus Mécanique 344, no. 4-5: 335-354.
Preforming simulation for structural composite processing can significantly assist in the development of forming tools, prediction of manufacturing issues, optimization of process parameters and structural design analysis. The present study is aimed at investigating the influence of some important parameters in composite forming using a hypoelastic computational model developed for simulating the deformation behaviour of fibrous materials. The process parameters considered within this numerical work investigate the effects of binder force, coefficient of friction and forming speed. The study is conducted using two most commonly used double-curvature geometries for analysis of woven composites: double dome and hemisphere. It has been shown with this comprehensive study that the forming simulations are greatly affected by the choice of process parameters, and models based on finite element approach, such as the proposed hypoelastic model, can only predict its effects.
Muhammad A Khan; Waqas Saleem; Muhammad Asad; Hassan Ijaz. A parametric sensitivity study on preforming simulations of woven composites using a hypoelastic computational model. Journal of Reinforced Plastics and Composites 2015, 35, 243 -257.
AMA StyleMuhammad A Khan, Waqas Saleem, Muhammad Asad, Hassan Ijaz. A parametric sensitivity study on preforming simulations of woven composites using a hypoelastic computational model. Journal of Reinforced Plastics and Composites. 2015; 35 (3):243-257.
Chicago/Turabian StyleMuhammad A Khan; Waqas Saleem; Muhammad Asad; Hassan Ijaz. 2015. "A parametric sensitivity study on preforming simulations of woven composites using a hypoelastic computational model." Journal of Reinforced Plastics and Composites 35, no. 3: 243-257.
M. Asad; T. Mabrouki; Hassan Ijaz; M. Aurangzeb Khan; W. Saleem. On the turning modeling and simulation: 2D and 3D FEM approaches. Mechanics & Industry 2014, 15, 427 -434.
AMA StyleM. Asad, T. Mabrouki, Hassan Ijaz, M. Aurangzeb Khan, W. Saleem. On the turning modeling and simulation: 2D and 3D FEM approaches. Mechanics & Industry. 2014; 15 (5):427-434.
Chicago/Turabian StyleM. Asad; T. Mabrouki; Hassan Ijaz; M. Aurangzeb Khan; W. Saleem. 2014. "On the turning modeling and simulation: 2D and 3D FEM approaches." Mechanics & Industry 15, no. 5: 427-434.
Hassan Ijaz; Muhammad Asad; Laurent Gornet; Syed Yasir Alam. Prediction of delamination crack growth in carbon/fiber epoxy composite laminates using non-local interface damage model. Mechanics & Industry 2014, 15, 293 -300.
AMA StyleHassan Ijaz, Muhammad Asad, Laurent Gornet, Syed Yasir Alam. Prediction of delamination crack growth in carbon/fiber epoxy composite laminates using non-local interface damage model. Mechanics & Industry. 2014; 15 (4):293-300.
Chicago/Turabian StyleHassan Ijaz; Muhammad Asad; Laurent Gornet; Syed Yasir Alam. 2014. "Prediction of delamination crack growth in carbon/fiber epoxy composite laminates using non-local interface damage model." Mechanics & Industry 15, no. 4: 293-300.
Structural topology optimization (STO) has emerged a thriving technique to determine the optimal concept design of mechanically loaded structures. Optimized configuration can be evolved by meeting the objective of optimal material distribution in allocated design domains under strength and stiffness constraints. In this paper, STO technique is emphasized by addressing its imperative material interpolation schemes and a general mathematical formulation for maximizing the structural stiffness under static loading. Potential application of this technique is explored by developing weight optimized configuration of an operative unarmed aerial vehicle wing ribs. Analytical study is carried out to evaluate the performance of different sections of optimized configuration. Weight to strength factor of each section is estimated by determining its shape and inertia factors. Finite element analysis and analytical outcomes of optimized configuration validate its enhanced performance as compared to operative ribs.
Waqas Saleem; Hassan Ejaz; Muhammad Aurangzeb Khan; Muhammad Asad. Weight to Strength Analysis of Topological Optimized UAV Ribs. Arabian Journal for Science and Engineering 2014, 39, 5035 -5043.
AMA StyleWaqas Saleem, Hassan Ejaz, Muhammad Aurangzeb Khan, Muhammad Asad. Weight to Strength Analysis of Topological Optimized UAV Ribs. Arabian Journal for Science and Engineering. 2014; 39 (6):5035-5043.
Chicago/Turabian StyleWaqas Saleem; Hassan Ejaz; Muhammad Aurangzeb Khan; Muhammad Asad. 2014. "Weight to Strength Analysis of Topological Optimized UAV Ribs." Arabian Journal for Science and Engineering 39, no. 6: 5035-5043.