Jan van Deventer

Dr. Jan van Deventer

orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2001 in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Verified
Journal Article
Closed access
JDJan van Deventer
Jan van Deventer
JDJ. Delsing
J. Delsing
The thermally static and dynamic performance of an ultrasonic density probe for liquids is investigated in the density range of 750 to 1300 kg/m/sup 3/ at temperature ranging from 0 to 40/spl deg/C. The single transducer probe uses a pulse echo technique to obtain the characteristic acoustic impedance of the liquid and, subsequently, the speed of sound through the liquid to obtain the density of the liquid. Variations in the initial sound amplitude are addressed by the design of a layered two material probe. It is shown that it is possible to obtain an accuracy of 0.4% in the experiments carried out. For changing temperature, the probe exhibits large errors because of problems in estimating the temperatures in certain regions of the probe.

1 April 2008
Verified
Conference Paper
Open access
JGJonas Gustafsson
Jonas Gustafsson
Jerker DelsingJerker Delsing
Jerker Delsing
JDJan van Deventer
Jan van Deventer
A physical thermodynamic model of a detached house connected to a low-tempered district heating network is presented. The model is created in Mathworks Simulink@ with a pedagogic approach in mind, e.g. masked subsystems divided in to physical components. The house model is easily modified to any detached house. Provision is also made to make it scalable to multi-family houses. The district heating substation modeled is a parallel coupled plate heat exchanger, which is the most common substation in smaller buildings such as villas. The purpose of creating the model was to provide a platform for test and evaluation of new control methods for district heating system based on wireless sensor networks. Initial validation of the model is presented.

1 February 2009 in Energy and Buildings
Verified
Journal Article
Closed access
KYKimmo Yliniemi
Kimmo Yliniemi
Jerker DelsingJerker Delsing
Jerker Delsing
JDJan van Deventer
Jan van Deventer

1 August 2022 in Applied Sciences
Verified
Journal Article
Open access
PDF file
Gianvito UrgeseGianvito Urgese
Gianvito Urgese
PAPaolo Azzoni
Paolo Azzoni
JDJan van Deventer
Jan van Deventer
Jerker DelsingJerker Delsing
Jerker Delsing
AMAlberto Macii
Alberto Macii
EMEnrico Macii
Enrico Macii
The evolution of industrial digitalisation has accelerated in recent years with the availability of hyperconnectivity, low-cost miniaturised electronic components, edge computing, and Internet of Things (IoT) technologies. More generally, with these key enablers, the concept of a system of systems (SoS) is becoming a reality in the industry domain. However, due to its complexity, the engineering process model adopted to design, develop, and manage IoT and SoS-based solutions for industry digitalisation is inadequate, inefficient, and frequently unable to manage the digitalisation solution’s entire life cycle. To address these limitations, we propose the Arrowhead Engineering Process (Arrowhead-EP) model and the Value Chain Engineering Process Map (VCEP-map), which explicitly reveal the interactions and dynamics of the engineering processes adopted by multistakeholder use cases in the industry domain. We decomposed and remodeled the engineering process to cover the complete life cycle of an industrial SoS, and we introduced a service-oriented solution intended to efficiently, flexibly, and effectively manage the three assets addressed by RAMI 4.0. The Arrowhead-EP model complemented by the VCEP-map fills the gaps identified in our literature-based analysis and satisfies the requirements of the life cycle management of a typical use case in the Industry 4.0 domain. In this regard, a specific example is used to illustrate the advantages of adopting the proposed engineering solution in a real multistakeholder use case.

1 May 2016
Verified
Conference Paper
Open access
JHJesper Hamfelt
Jesper Hamfelt
JGJonas Gustafsson
Jonas Gustafsson
JDJan van Deventer
Jan van Deventer
TLTorbjorn Lofqvist
Torbjorn Lofqvist
FHFredrik Haggstrom
Fredrik Haggstrom
Jerker DelsingJerker Delsing
Jerker Delsing
This paper proposes a passive Barkhausen noise sensor design suitable for low power applications. The sensor uses a permanent magnet and the relative motion between itself and a measured specimen instead of the conventional method that uses a fixed sensor and an alternating magnetic field. Since this novel design is passive, the sensor is well suited for low power applications and could potentially be used in e.g. A condition monitoring system integrated into a rolling element bearing. Proof of concept testing has been performed showing that the proposed sensor produces similar results as conventional Barkhausen noise sensors when applied to specimens being cyclically loaded until failure in a rotating bending rig. The results imply that material fatigue detection using the Barkhausen noise can be performed with the proposed sensor at a fraction of the energy cost compared to a conventional sensor. This warrants future research into the development of the proposed sensor, its advantages, disadvantages, and functionalityValiderad; 2016; Nivå 1; 2016-10-11 (andbra)

22 January 2025 in IEEE Open Journal of the Industrial Electronics Society
Verified
Journal Article
Open access
SJSalman Javed
Salman Javed
CPCristina Paniagua
Cristina Paniagua
IJImran Javed
Imran Javed
JDJan van Deventer
Jan van Deventer
Jerker DelsingJerker Delsing
Jerker Delsing
The rapid evolution of manufacturing processes driven by Industry 4.0 demands systems capable of quickly adapting to dynamic market conditions and evolving customer needs. Agile manufacturing emphasizes flexibility, adaptability, and real-time responsiveness, posing challenges in run-time value chain analysis (VCA), including cost flows and production times. This paper presents a novel two-stage VCA approach using an activity-based costing mechanism via microservices to address these challenges. The VCA system enables real-time cost accounting and decision-making, supporting both pre- and post-production VCA, contrasting with traditional methods that rely on historical data. The first stage involves top-down cost calculations from resources to microservices. In contrast, the second focuses on constructing efficient manufacturing activities based on product requirements, allowing for granular analysis of costs and production times across microservices, activities, broader business processes, and finally, cost objects (e.g., customized products, batches of products, or customer invoices). The approach is validated through a proof-of-concept implementation of the VCA system integrated with the Eclipse Arrowhead framework and simulating Fischertechnik indexed line milling, drilling, and conveying operations. The results demonstrate the effectiveness of the proposed method in providing detailed insights into costs and production times, enhancing the efficiency and competitiveness of agile manufacturers.