Hierarchical slice contours for layered-manufacturing
Computers in Industry
Hybrid feature modeling for sport shoe sole design
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Derivation of template shoe-lasts for efficient fabrication of custom-ordered shoe-lasts
Computer-Aided Design
FPGA-based tool path computation
Computers in Industry
CAD tools for designing shoe lasts for people with diabetes
Computer-Aided Design
Model reconstruction of human buttocks and the shape clustering
DHM'13 Proceedings of the 4th international conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics, and Risk Management: human body modeling and ergonomics - Volume Part II
Footwear bio-modelling: An industrial approach
Computer-Aided Design
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The main purpose of this research is to develop a process for identifying the most suitable shoe last for human feet. A fitness function was defined to determine the most suitable shoe last among several alternatives. Based on reverse engineering (RE) technology, this research included scanning the surface of human feet and shoe lasts in STL (Stereo Lithography) format. An STL slicing algorithm constructed the three most important measurements for human feet and shoe last, i.e., ball girth, waist girth, and instep girth. Fuzzy theory was used to analyze and build the membership functions of these three girths between the shoe last and human feet. The analytical hierarchy process (AHP) was applied to decide the weighting functions for each girth to determine the fitness function in all shoe last databases for the feet. Three case studies were implemented to find the ranking of 10 shoe lasts in the database. This research, which defined as the relationships between shoe last and human feet, can be used as a good reference for design in the shoe-making process.