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Wang, Yu Han
Chen, Ming
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Chen, Ming
author Zhang, Li Qiang
Wang, Yu Han
Chen, Ming
spellingShingle Zhang, Li Qiang
Wang, Yu Han
Chen, Ming
Key Engineering Materials
An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
Mechanical Engineering
Mechanics of Materials
General Materials Science
author_sort zhang, li qiang
spelling Zhang, Li Qiang Wang, Yu Han Chen, Ming 1662-9795 Trans Tech Publications, Ltd. Mechanical Engineering Mechanics of Materials General Materials Science http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.211 <jats:p>In free-form surface machining, it is essential to optimize the feedrate in order to improve the machining efficiency. Conservative constant feedrate values have been mostly used since there was a lack of physical models and optimization tools for the machining processes. The overall goal of this research is the integration of geometric and mechanistic milling models for force prediction and feedrate scheduling for free-form surface machining. For each tool move a geometric model calculates the cutting geometry parameters, then a mechanistic model uses this information with the constraint force to calculate desired feedrates. The feedrate is written into the part program. When the integrated modeling approach was used, it was shown that the machining time can be decreased significantly along the tool path. Production time in machining propeller example was reduced to 35% compared to constant feedrate cases.</jats:p> An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models Key Engineering Materials
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title An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_unstemmed An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_full An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_fullStr An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_full_unstemmed An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_short An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_sort an intelligent optimization approach of feedrate scheduling based on hybrid simulation models
topic Mechanical Engineering
Mechanics of Materials
General Materials Science
url http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.211
publishDate 2008
physical 211-215
description <jats:p>In free-form surface machining, it is essential to optimize the feedrate in order to improve the machining efficiency. Conservative constant feedrate values have been mostly used since there was a lack of physical models and optimization tools for the machining processes. The overall goal of this research is the integration of geometric and mechanistic milling models for force prediction and feedrate scheduling for free-form surface machining. For each tool move a geometric model calculates the cutting geometry parameters, then a mechanistic model uses this information with the constraint force to calculate desired feedrates. The feedrate is written into the part program. When the integrated modeling approach was used, it was shown that the machining time can be decreased significantly along the tool path. Production time in machining propeller example was reduced to 35% compared to constant feedrate cases.</jats:p>
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container_start_page 211
container_title Key Engineering Materials
container_volume 392-394
description <jats:p>In free-form surface machining, it is essential to optimize the feedrate in order to improve the machining efficiency. Conservative constant feedrate values have been mostly used since there was a lack of physical models and optimization tools for the machining processes. The overall goal of this research is the integration of geometric and mechanistic milling models for force prediction and feedrate scheduling for free-form surface machining. For each tool move a geometric model calculates the cutting geometry parameters, then a mechanistic model uses this information with the constraint force to calculate desired feedrates. The feedrate is written into the part program. When the integrated modeling approach was used, it was shown that the machining time can be decreased significantly along the tool path. Production time in machining propeller example was reduced to 35% compared to constant feedrate cases.</jats:p>
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spelling Zhang, Li Qiang Wang, Yu Han Chen, Ming 1662-9795 Trans Tech Publications, Ltd. Mechanical Engineering Mechanics of Materials General Materials Science http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.211 <jats:p>In free-form surface machining, it is essential to optimize the feedrate in order to improve the machining efficiency. Conservative constant feedrate values have been mostly used since there was a lack of physical models and optimization tools for the machining processes. The overall goal of this research is the integration of geometric and mechanistic milling models for force prediction and feedrate scheduling for free-form surface machining. For each tool move a geometric model calculates the cutting geometry parameters, then a mechanistic model uses this information with the constraint force to calculate desired feedrates. The feedrate is written into the part program. When the integrated modeling approach was used, it was shown that the machining time can be decreased significantly along the tool path. Production time in machining propeller example was reduced to 35% compared to constant feedrate cases.</jats:p> An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models Key Engineering Materials
spellingShingle Zhang, Li Qiang, Wang, Yu Han, Chen, Ming, Key Engineering Materials, An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models, Mechanical Engineering, Mechanics of Materials, General Materials Science
title An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_full An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_fullStr An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_full_unstemmed An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_short An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
title_sort an intelligent optimization approach of feedrate scheduling based on hybrid simulation models
title_unstemmed An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
topic Mechanical Engineering, Mechanics of Materials, General Materials Science
url http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.211