A5039589583- Manufacturing Process and Optimization
- Digital Transformation in Industry
- Sustainable Supply Chain Management
- Recycling and Waste Management Techniques
- Advanced machining processes and optimization
- Energy Efficiency and Management
- Advanced Machining and Optimization Techniques
- Flexible and Reconfigurable Manufacturing Systems
- Technology Assessment and Management
- Multi-Criteria Decision Making
- Industrial Vision Systems and Defect Detection
- Automotive and Human Injury Biomechanics
- Advanced Manufacturing and Logistics Optimization
- Quality and Supply Management
- Quality Function Deployment in Product Design
- BIM and Construction Integration
- Traffic and Road Safety
- Environmental Sustainability in Business
- IoT and Edge/Fog Computing
- Electrical Fault Detection and Protection
- Construction Project Management and Performance
- Machine Fault Diagnosis Techniques
- Injury Epidemiology and Prevention
- Methane Hydrates and Related Phenomena
- Modular Robots and Swarm Intelligence
Loughborough University
2014-2024
Cycling helmets play a crucial role in protecting against head injuries, however, their effectiveness mitigating all types of injury is limited, particularly traumatic brain injuries (TBIs). This limitation primarily attributed to the current cycling helmet standards, which inadequately represent real-world impact scenarios. Specifically, they overlook rotational kinematics resulting from direct oblique impacts and fail consider inertial loading during body-first impacts. To address this...
The aim of the research outlined in this paper is to demonstrate implementation a Cyber-Physical System (CPS) within End Life (EoL) processing Electrical and Electronic Equipment (EEE). described system was created by reviewing related areas research, capturing stakeholder's requirements, designing components then implementing an actual EoL EEE processer. presented details user relevant any processer, provides information challenges benefits utilising CPSs systems domain. implemented allowed...
The aim of the research outlined in this paper is to demonstrate implementation a Cyber-Physical System (CPS) within Automotive Industry for monitoring and control Returnable Transit Items (RTIs) toward improved quality assurance process compliance. socio-technical issues encountered during real-world are discussed inform future design RTI's utilised transportation both components subsequently assembled products at beginning end life stages. implemented system utilises passive Ultra-High...
Producing a Digital Twin (DT) involves many inter-linking decisions. Existing research tends to describe the parts of DT and how they work, but not decision-making that goes into building nor consideration alternative design options. There is therefore need for decision support guide developers create DTs efficiently while meeting functional requirements such as accuracy interoperability. This paper presents an ontology-based framework achieve this need. Firstly analysis decisions required...
Understanding electrical energy consumption of machines and processes is increasing importance to (i) minimise costs environmental impact production activities (ii) provide an additional information stream inform condition monitoring systems (i.e. digital twins) about a machine's status health. The research outlined in this paper develops Virtual Machining Energy Toolkit (V_MET) predict the power Computer Numeric Control (CNC) milling machine cutting particular part program from preparatory...
Industrial energy consumption accounts for 50% of global use and manufacturers that invest in waste reduction strategies can have a significant impact on emission while ensuring they operate within usage limits. Exceeding these limits result taxation from national international policy makers charges providers. For example, the UK Climate Change Levy, charged to businesses at 0.554 p/kWh equate 7.28% manufacturing business's bill based an average total rate 7.61 p/kWh. There has been growing...
Something like normal functionality of tools in a manufacturing process is typically designed to ensure reliability, where fast and accurate identification tool abnormal operation plays vital role intelligent manufacturing. In this study, novel method proposed assess the cutting condition, which consists convolutional neural network with wider first-layer kernels (W-CONV), long short-term memory (LSTM). The analysis benefits from use output power signals tool, since they can be obtained...
Producing a Digital Twin (DT) involves many inter-linking decisions. Existing research tends to describe the parts of DT and how they work, but not decision-making that goes into building nor consideration alternative design options. There is therefore need for decision support guide developers create DTs efficiently while meeting functional requirements such as accuracy interoperability. This paper presents an ontology-based framework achieve this need. Firstly analysis decisions required...
Machining shop floor jobs are rarely optimised for minimisation of the energy consumption, as no clear guidelines exist in operating procedures and high production rates finishing quality requirements with higher priorities. However, there has been an increased interest recently more energy-efficient process designs, due to new regulations increases charges. Response Surface Methodology (RSM) is a popular procedure using empirical models optimising consumption cutting operations, but...
Abstract Radio-Frequency Identification (RFID) system technology is a key element for the realization of Industry 4.0 vision, as it vital tasks such entity tracking, identification and asset management. However, plethora RFID systems’ elements in combination with wide range factors that need to be taken under consideration along interrelations amongst them, make problem design right system, based on users’ needs particularly complex. The research outlined this paper seeks optimize process by...
Modern data-based predictive maintenance methods have proven effective for state tracking and fault detection of various pieces manufacturing equipment. These however require large volumes data, with most manufactures only now beginning to implement the requisite industry 4.0 systems acquire it. Furthermore, such equipment where failures are rare, but still high-impact, it is likely that required data volume will never be achieved scenarios. In this work a bench test model used simulate...
Producing a Digital Twin (DT) involves many inter-linking decisions. Existing research tends to describe the parts of DT and how they work, but not decision-making that went into building nor consideration alternative design options. There is therefore need for decision-support tool guide developers create DTs efficiently while meeting functional requirements such as accuracy interoperability. To work towards creating tool, this paper presents an analysis decisions required predictive...