Key research themes
1. How can consumer psychological feelings be quantitatively integrated into ergonomic engineering product design?
This research theme focuses on developing methodologies to translate consumers’ subjective emotions and images of products (Kansei) into concrete design elements in engineering. The aim is to bridge psychological consumer preferences with product functionality, achieving ergonomic designs that match market-driven demands. Technologies like semantic differential scaling, expert systems, neural networks, and genetic algorithms are employed to establish systematic, adaptive frameworks that incorporate consumer feelings into the product development cycle, thereby enhancing product acceptance and commercial success.
2. What integrated frameworks can optimize product redesign by balancing manufacturing, assembly, reliability, and customer requirements?
This theme addresses the development of holistic frameworks in product redesign that simultaneously consider manufacturability, ease of assembly (DFMA), and product reliability (DFR), while aligning with evolving customer requirements. These frameworks leverage multidisciplinary approaches such as finite element analysis (FEA), failure mode assessment, and historical complaint data to identify critical components and support early-stage redesign decision-making. Incorporation of such integrated frameworks aims to reduce design lead times, minimize costs, and enhance product quality and customer satisfaction, thus improving competitiveness especially for SMEs and technology-driven industries.
3. How do digital transformation and algorithm-driven generative design reshape engineering product development processes?
Research in this theme explores the integration of computational technologies such as artificial intelligence, generative algorithms, big data, and digital manufacturing in transforming traditional engineering design practices. The focus is on how these digital tools enable new paradigms of product creation characterized by increased efficiency, optimized material use, cost reduction, and complex multi-domain integration. It also investigates the human-machine symbiosis in design processes, where algorithms assist or augment human creativity, enabling rapid real-time solutions and redefining the relationship between designers, products, and digital environments.