A5054259038- Manufacturing Process and Optimization
- Product Development and Customization
- Design Education and Practice
- Additive Manufacturing and 3D Printing Technologies
- 3D Shape Modeling and Analysis
- Advanced Numerical Analysis Techniques
- Quality Function Deployment in Product Design
- Technology Assessment and Management
- Color perception and design
- Advanced Manufacturing and Logistics Optimization
- Sustainable Supply Chain Management
- BIM and Construction Integration
- Computer Graphics and Visualization Techniques
- Flexible and Reconfigurable Manufacturing Systems
- Optical measurement and interference techniques
- Industrial Vision Systems and Defect Detection
- Computational Geometry and Mesh Generation
- 3D Surveying and Cultural Heritage
- Optimization and Packing Problems
- Digital Transformation in Industry
- Natural Fiber Reinforced Composites
- Machine Fault Diagnosis Techniques
- Healthcare Operations and Scheduling Optimization
- Advanced Measurement and Metrology Techniques
- Advanced machining processes and optimization
University of Manitoba
2015-2024
Hebei University of Technology
2021
Nanchang University
2011
University of Winnipeg
2006
University of Wolverhampton
2000
University of Birmingham
1997-1998
Deep learning has been widely used in different fields such as computer vision and speech processing. The performance of deep algorithms is greatly affected by their hyperparameters. For complex machine models neural networks, it difficult to determine In addition, existing hyperparameter optimization easily converge a local optimal solution. This paper proposes method for that combines the Sparrow Search Algorithm Particle Swarm Optimization, called Hybrid Algorithm. takes advantages...
Abstract For certain combinations of cutter spinning speeds and cutting depths in milling operations, self-excited vibrations or chatter the tool are generated. The deteriorates surface finish workpiece reduces useful working life tool. In past, extensive work has been reported on detections based deflection sound generated during process, which is costly due to additional sensor circuitry required. On other hand, manual intervention necessary interpret result. present research, online...
Abstract Additive manufacturing (AM) offers many advantages to make objects compared traditional subtractive methods. For example, complex geometries can be easily fabricated, and lightweight parts formed while maintaining the strength for low carbon footprint, material consumption waste. But there are some areas AM improve in sustainability, reliability, productivity, robustness, diversity, part quality. Life-cycle assessment studies have identified that printing stage has a big impact on...
Purpose – The purpose of this paper is to develop an effective approach decide design details using benchmarking capture the existing practice in sustainable design. Design/methodology/approach This reports a systematic method for product uses benchmarks as references searching achieve solutions. Quality function deployment used guide search process competitive products meet quantitative targets and increase knowledge Findings proposed can both functional requirements 18.55 percent reduction...
Machine learning algorithms have been widely used to deal with a variety of practical problems such as computer vision and speech processing. But the performance machine is primarily affected by their hyper-parameters, without good hyper-parameter values these will be very poor. Unfortunately, for complex models like deep neural networks, it difficult determine hyper-parameters. Therefore, great significance develop an efficient algorithm automatic optimization. In this paper, novel...
User experience has a significant impact on the effective product design and improvement, especially for personalized to meet user’s individual need. The development of products requires data from user in evaluation function performance. existing methods Internet-based interactive platforms direct market surveys cannot provide users full features. This research proposes system based virtual reality technologies close-real open-architecture products. provides an interface built environment....
Purpose – The purpose of this paper is to introduce a method the bottleneck detection for Emergency Department (ED) improvement using benchmarking and design experiments (DOE) in simulation model. Design/methodology/approach Four procedures treatments are used represent ED activities patient flow. Simulation modeling applied as cost-effective tool analyze operation. Benchmarking provides achievable goal improvement. DOE speeds up process search. Findings It identified that long waiting time...
Selective disassembly planning searches solutions to separate useful parts of a product be reused or recycled at the end life. An efficient method is essential for in recycling process reduce operation time and cost. This paper proposes an selective sequence considering destructive operations. Different from most existing methods that mainly consider non-destructive disassembly, operations are considered improve efficiency. representation approach search algorithms proposed generate optimal...