Seng Chong

Dr Seng Chong

Job: Senior Lecturer

Faculty: Computing, Engineering and Media

School/department: School of Engineering and Sustainable Development

Research group(s): Advanced Manufacturing Processes and Mechatronics Centre (AMPMC)

Address: 麻w豆传媒, The Gateway, Leicester, LE1 9BH UK

T: +44 (0)116 207 8011

E: skchong@dmu.ac.uk

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Personal profile

Dr. Chong is a Senior Lecturer in the School of Engineering, Media and Sustainable Development of the Faculty of Technology, and a member of the Mechatronics Research Group within the Advanced Manufacturing Processes and Mechatronics Centre of the Faculty of Technology. He is also the programme leader of the MSc Mechatronics and MSc project Coordinator; and the year 1 tutor for BEng Mechanical Engineering and BEng Mechatronics. He teaches Electrical and Electronic Principles at the undergraduate level, and Mechanics of Machines and Control System Engineering at the Postgraduate level.

Dr. Chong has previously engaged in technical research in several major projects in the area of Mechatronics, namely: (i) Virtual engineering / digital manufacturing, (ii) Product life cycle information management and product service system, (ii) Pervasive computing, information and communication technologies and equipment management for connected homes.

He has also led research in a number of projects which helped develop research and development capabilities within the Mechatronics Research Centre in: (i) system architectures and engineering for remote service delivery to connected homes / eHome technologies, and (ii) new techniques and methods in the realisation of life cycle products and systems.

The underlying competencies / technologies facilitating such research and development include (i) component-based architectures / framework design & systems integration; (ii) control systems design, data acquisition & telemetry; (iii) information management systems design / implementation; (iv) information and communication technologies; and (v) eHome technologies & services / smart-home technologies.

Research group affiliations

Mechatronics Research Group of the Advanced Manufacturing Processes and Mechatronics Centre.

Publications and outputs

dc.title: Enhancing dimensional accuracy in 3D printing: a novel software algorithm for real-time quality assessment dc.contributor.author: Bowoto, Oluwole K.; Zahedi, S. Abolfazl; Chong, Seng Kwong dc.description.abstract: Notably, despite the widespread application of 3D printing technology across diverse industries, issues like dimensional variations continue to limit its full-scale production potential. In this research, the dimensional variation between the CAD model and a 3D printed specimen by extrusion technique is investigated by a developed software algorithm. In contrast to previously employed techniques such as coordinate measuring machines, laser scanning, optical profilometry, and CT scanning, which have been highlighted in the literature, the developed software algorithm is cheap and stands out by relying on computer vision for the assessment of dimensional deviations in the printed model. The proposed software algorithm assesses the dimensional quality of 3D printed components through a comprehensive three-step methodology: preparation, measurement, and analysis. The software scrutinizes both the CAD model and the G-code-sliced model, extracting crucial dimensional data that serves as a reference for monitoring deviations during the actual 3D printing process. The software is fully tested across a diverse 3D geometry, capable of predicting real-time dimensional variances that could otherwise result in printing failures. The solution not only ensures the preservation of economic and human resources in additive manufacturing but also enhances the overall efficiency of the process. The paper concludes that the choice of the appropriate method should be contingent on the specific part type and the level of accuracy required.
dc.title: Predicting Inflow, or Leak, or Declining Energy in Conduits During Fluid Evacuation Processes Using Enclosed Angle Vector Relaxation Method dc.contributor.author: Nwankwo, Cosmas; Chong, Seng Kwong; Brown, Neil dc.description.abstract: Most of the prospecting areas used for hydrocarbon exploitation in the Niger Delta were originally virgin lands but have suffered urban encroachment such that any loss of hydrocarbon containment may lead to pollution, loss of lives, major fires, and loss of major assets. Initially, pipeline loss of containment during petroleum evacuation was mainly due to corrosion, but around the year 2000, pipeline vandalism which started as a way of protesting lack of development projects by host communities, rapidly grew into an industry for crude theft through hot tapping. The cost of crude oil theft is estimated at 拢1bln per month and it is reported that some 1000 people have died due to pipeline explosion in Nigeria within the period 2011 to 2015. The desirability for the quantity of crude escaping to the environment during any loss of containment cannot be overemphasised. First, we need to know this in other to plan emergency responds on loss containment. Also, if the loss of containment is from a flowing well, we especially need this information to plan well capping or relief well planning in support of the well capping. In some jurisdictions it is also required as a mandatory regulatory reporting requirement dc.description: Output from PhD research jointly supervised within EM&SD, CEM
dc.title: 3D printing of surface characterisation and finite element analysis improvement of PEEK-HAP-GO in bone implant dc.contributor.author: Chong, Seng Kwong; Malachi, Idowu; Oladapo, Bankole I.; Zahedi, S. A.; Omigbodun, F.T. dc.description.abstract: Research and development of polyetheretherketone (PEEK) composites with high thermal conductivities and ideal thermal stabilities have become one of the hot topics in composites. However, not all PEEK composites have the necessary characteristics adequate fracture toughness to resist forces and crack propagation, with an improved mechanical and structural properties. This research evaluates a novel computational surface characterisation and finite element analysis (FEA) of polyetheretherketone and hydroxyapatite graphene oxide (PEEK-HAP-GO) in the process of 3D printing to improve fracture toughness to resist forces and crack propagation. It also focuses on increasing the hydrophilicity, surface roughness, and coating osteoconductive of PEEK-HAP-GO for the bone implant. Compression and tensile tests were performed to investigate the mechanical properties of the PEEK-HAP-GO structure. The addition of calcium phosphate and the incorporation of porosity in PEEK-HAP-GO has been identified as an effective way to improve the osseointegration of bone-implant interfaces of PEEK-HAP-GO. The further analytical structure of the particle was performed, evaluating the surface luminance structure and the profile structure of composite material in 3D printing, analysing the profile curve of the nanostructure from the scanning electron microscope (SEM). The results of the uniaxial compression tests in new PEEK-HAP-GO biodegradable materials show good compressive strength suitable for loading applications. It shows melt-blending with bioactive nanoparticles can be used to produce bioactive nanocomposites like HAP-GO and is used to modify the surface structure of PEEK implants in order to make it more bioactive. dc.description: The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
dc.title: Bridging the Gaps in a Model-Based System Engineering Workflow by Encompassing Hardware-in-the-Loop Simulation dc.contributor.author: Kalawsky, R.; O'Brien, J.; Chong, Seng Kwong; Wong, Chi Biu; Jia, Haibo; Pan, Hongtao; Moore, P. dc.description.abstract: This paper discusses how gaps in a model-based system engineering (MBSE) workflow can be bridged through the use of special model transformation tools. The goal is to create an integrated workflow tool chain to facilitate integration of various subsystems and verification of the overall system performance to meet a set of desired system requirements. This paper describes an implementation in a model-based representation that encompasses real system hardware-in-the-loop (HIL) components to verify the effectiveness and capability of the development platform. Discussion is provided on the developed model transformation processes that make this possible and is explained through the application of our approach to the development of subsystems for a vehicle system. The key contributions of research include: 1) identification of a suitable model-based systems design methodology and toolset (based on IBM Rhapsody/Mathworks Simulink combination) to include HIL for system verification; 2) design and development of model transformation tools to facilitate bidirectional transformation of an IBM Rhapsody model to a Simulink model; and 3) successful mapping between platform independent models and platform-specific models involving HIL. The research outcomes show particularly promising results that are anticipated to benefit the MBSE community.
dc.title: The Architecture and Development of Multi-Role Course Design of a Web-Based Group Training System dc.contributor.author: Guo, X.; Chong, Seng Kwong; Dyson, Sue, 1960-; Picinali, Lorenzo dc.description.abstract: Due to the fast development of information technology there are new opportunities for traditional training systems. Many e-training systems are proposed and implemented, however, there is rarely any research on group based e-training system that allow people to train in a group that involves different roles. This paper proposes an architecture for a web based surgery group training system that supports multi-role group training courses. A course model based on XPDL (XML Process Definition Language) is introduced to bridge the understanding of a graphical multi-role course design and the computer application. There is also an explanation on how the multi-role courses are designed and used in applications. Finally a demonstration experiment is given.
dc.title: Model Driven System Engineering for Vehicle System utilizing Model Driven Architecture approach and Hardware-in-the-Loop Simulation dc.contributor.author: Wong, Chi Biu; Chong, Seng Kwong; Jia, Haibo; Pan, Hongtao; Moore, P.; Kalawsky, R.; O'Brien, J.
dc.title: Runtime Support Framework for Agile Manufacturing Machinery A Component-Based Approach underpinned by Advanced Virtual Engineering / Digital Manufacturing Technologies dc.contributor.author: Chong, Seng Kwong; Moore, Philip R.; Wong, Chi Biu
dc.title: Intelligent products: from lifecycle data acquisition to enabling product-related services. dc.contributor.author: Moore, Philip R.; Chong, Seng Kwong; Yang, Xiaoyu
dc.title: Product life cycle information acquisition and management for consumer products dc.contributor.author: Yang, Xiaoyu; Moore, Philip R.; Wong, Chi Biu; Pu, Junsheng; Chong, Seng Kwong dc.description: An output from EU Framework funded Environmental Lifecycle Information Management and Acquisition (ELIMA) collaborative research project (GRD2-2000-30097). ELIMA resulted from 鈥淟ife Cycle Data Acquisition Methods and Devices for Consumer Products and Machines (Whitebox)鈥�. EPSRC Design for Whole Life Cycle Programme, Grant GR/L74392 (Assessed as top-rated Alpha 5 for research outcome and excellent management and use of resources). Prototype product service systems were piloted in multi-country field trials (Indesit/Hotpoint refrigeration products - tim.cock@indesitcompany.com) and SONY PlayStation consoles -bodenhoefer@sony.de), designed and implemented with the framework and tools described. Partners also included Motorola, Cybernetix, SAT and Sheffield Hallam. Total project value was 鈧�3.9M.

Research interests/expertise

Model based system engineering
Advanced machine and product design
Virtual engineering
Assisted living technologies.

Areas of teaching

MSc. Mechatronics Programme Leader
Year one tutor for BEng Mechanical Engineering and BEng Mechatronics
Module Leader and Instructor for Electrical and Electronics Principles (ENGD1004)
Module Leader and Instructor for Electromechanics (ENGT5101)
Module Leader and Supervisor for Individual Project (ENGT5301)
Instructor for Engineering System: Dynamics and Control (ENGT5201)
Assessor for Research Methods (ENGT5204)
Tutor for DESP 2035: Innovative Design and Technology integration
Supervisor for Final Year Project (ENGD3000).

Qualifications

PhD – Component-based Runtime Support Framework for Agile Manufacturing Machinery (麻w豆传媒)
MSc Mechatronics with Distinction (Winner of the NEC Excellence Design Award) (麻w豆传媒).

Membership of professional associations and societies

CEng MIET

Conference attendance

Chong, S., Wong, C., Jia, H., Pan, H., Moore, P., Kalawsky, R. and O’Brien, J. (2011), “Model Driven System Engineering for Vehicle System utilizing Model Driven Architecture approach and Hardware-in-the-Loop Simulation”, ICMA 2011: IEEE International Conference on Mechatronics and Automation, 7-10 August 2011, Beijing, China.

Externally funded research grants information

DTI Global Watch Mission: Mission to Moscow and St. Petersburg, Russia; Mechatronics: Applications in Specialised Machinery, Production, Aerospace and Defence Sectors; 13-17 November 2006 (Dr. Chong was the Principal investigator and mission coordinator of the mission).

Internally funded research project information

Feasibility Study of a Collaborative Virtual Learning Environment for Surgical Teams, Higher Education Innovation Funding (HEIF5), Jan 2012 – March 2013 as Principal Investigator.

Co-Investigators: Dr Sue Dyson, Dr. Lorenzo Picinali and Prof Joseph Dias, Head of School of Surgery, East Midlands (South) Deanery, University of Leicester.

Assisted Living Collaborative Research Network (Assisted Living CRN), Researcher Innovation Fund (RIF2), Jan – July 2011 as Principal Investigator. To bring together and maintain a multidisciplinary team within 麻w豆传媒 to gather critical mass for the formation of an “Assisted Living Collaborative Research Network”. Engaged in various open days, seminars and project meetings.

Co-Investigators: Dr. Xi Chen, Prof. Andrew Hugill, Prof. MRD Johnson, Prof. Robert John, Dr. Simon Coupland, Dr. Eric Goodyer.