2011Computer Integrated Manufacturing SystemsRequires access

Maximum cutter size calculating for free-form surface machining based on improved genetic algorithm

Kai Liu

Open publisher page 1 citations

Abstract

To select appropriate cutter size so as to realize free-form surface machining with no curvature interference,an Improved Genetic Algorithm(IGA) was proposed and applied in global maximum principal curvature calculating of free-form surface and maximum cutter size identifying with no curvature interference.A novel non-linear adaptive fitness function was designed according to principal curvature features,which could avoid trapping in local convergence.New selection rules of units to be copied were also given.Application of IGA showed that the global maximum principal curvature of free-form surface could be calculated effectively within 500 generations and the efficiency was higher than that of the discrete method.The cutter size selected according to the global maximum principal curvature was proper for free-form surface machining with no curvature interference.

About this research paper

What this paper is about

To select appropriate cutter size so as to realize free-form surface machining with no curvature interference,an Improved Genetic Algorithm(IGA) was proposed and applied in global maximum principal curvature calculating of free-form surface and maximum cutter size identifying with no curvature interference.A novel non-linear adaptive fitness function was designed according to principal curvature features,which could avoid trapping in local convergence.New selection rules of units to be copied were also given.Application of IGA showed that the global maximum principal curvature of free-form surface could be calculated effectively within 500 generations and the efficiency was higher than that of the discrete method.The cutter size selected according to the global maximum principal curvature was proper for free-form surface machining with no curvature interference.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

To select appropriate cutter size so as to realize free-form surface machining with no curvature interference,an Improved Genetic Algorithm(IGA) was proposed and applied in global maximum principal curvature calculating of free-form surface and maximum cutter size identifying with no curvature interference.A novel non-linear adaptive fitness function was designed according to principal curvature features,which could avoid trapping in local convergence.New selection rules of units to be copied were also given.Application of IGA showed that the global maximum principal curvature of free-form surface could be calculated effectively within 500 generations and the efficiency was higher than that of the discrete method.The cutter size selected according to the global maximum principal curvature was proper for free-form surface machining with no curvature interference.

Key concepts: Curvature, Principal curvature, Machining, Surface (topology), Interference (communication), Fitness function, Algorithm, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
Maximum cutter size calculating for free-form surface machining based on improved genetic algorithm — Research Paper | ScholarLens