Eintrag weiter verarbeiten
An Intelligent Optimization Approach of Feedrate Scheduling Based on Hybrid Simulation Models
Gespeichert in:
Zeitschriftentitel: | Key Engineering Materials |
---|---|
Personen und Körperschaften: | , , |
In: | Key Engineering Materials, 392-394, 2008, S. 211-215 |
Format: | E-Article |
Sprache: | Unbestimmt |
veröffentlicht: |
Trans Tech Publications, Ltd.
|
Schlagwörter: |
author_facet |
Zhang, Li Qiang Wang, Yu Han Chen, Ming Zhang, Li Qiang Wang, Yu Han 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 |
doi_str_mv |
10.4028/www.scientific.net/kem.392-394.211 |
facet_avail |
Online |
finc_class_facet |
Technik |
format |
ElectronicArticle |
fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDAyOC93d3cuc2NpZW50aWZpYy5uZXQva2VtLjM5Mi0zOTQuMjEx |
id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDAyOC93d3cuc2NpZW50aWZpYy5uZXQva2VtLjM5Mi0zOTQuMjEx |
institution |
DE-Gla1 DE-Zi4 DE-15 DE-Rs1 DE-Pl11 DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-D161 |
imprint |
Trans Tech Publications, Ltd., 2008 |
imprint_str_mv |
Trans Tech Publications, Ltd., 2008 |
issn |
1662-9795 |
issn_str_mv |
1662-9795 |
language |
Undetermined |
mega_collection |
Trans Tech Publications, Ltd. (CrossRef) |
match_str |
zhang2008anintelligentoptimizationapproachoffeedrateschedulingbasedonhybridsimulationmodels |
publishDateSort |
2008 |
publisher |
Trans Tech Publications, Ltd. |
recordtype |
ai |
record_format |
ai |
series |
Key Engineering Materials |
source_id |
49 |
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> |
container_start_page |
211 |
container_title |
Key Engineering Materials |
container_volume |
392-394 |
format_de105 |
Article, E-Article |
format_de14 |
Article, E-Article |
format_de15 |
Article, E-Article |
format_de520 |
Article, E-Article |
format_de540 |
Article, E-Article |
format_dech1 |
Article, E-Article |
format_ded117 |
Article, E-Article |
format_degla1 |
E-Article |
format_del152 |
Buch |
format_del189 |
Article, E-Article |
format_dezi4 |
Article |
format_dezwi2 |
Article, E-Article |
format_finc |
Article, E-Article |
format_nrw |
Article, E-Article |
_version_ |
1792325818022625283 |
geogr_code |
not assigned |
last_indexed |
2024-03-01T12:11:39.21Z |
geogr_code_person |
not assigned |
openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=An+Intelligent+Optimization+Approach+of+Feedrate+Scheduling+Based+on+Hybrid+Simulation+Models&rft.date=2008-10-01&genre=article&issn=1662-9795&volume=392-394&spage=211&epage=215&pages=211-215&jtitle=Key+Engineering+Materials&atitle=An+Intelligent+Optimization+Approach+of+Feedrate+Scheduling+Based+on+Hybrid+Simulation+Models&aulast=Chen&aufirst=Ming&rft_id=info%3Adoi%2F10.4028%2Fwww.scientific.net%2Fkem.392-394.211&rft.language%5B0%5D=und |
SOLR | |
_version_ | 1792325818022625283 |
author | Zhang, Li Qiang, Wang, Yu Han, Chen, Ming |
author_facet | Zhang, Li Qiang, Wang, Yu Han, Chen, Ming, Zhang, Li Qiang, Wang, Yu Han, Chen, Ming |
author_sort | zhang, li qiang |
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> |
doi_str_mv | 10.4028/www.scientific.net/kem.392-394.211 |
facet_avail | Online |
finc_class_facet | Technik |
format | ElectronicArticle |
format_de105 | Article, E-Article |
format_de14 | Article, E-Article |
format_de15 | Article, E-Article |
format_de520 | Article, E-Article |
format_de540 | Article, E-Article |
format_dech1 | Article, E-Article |
format_ded117 | Article, E-Article |
format_degla1 | E-Article |
format_del152 | Buch |
format_del189 | Article, E-Article |
format_dezi4 | Article |
format_dezwi2 | Article, E-Article |
format_finc | Article, E-Article |
format_nrw | Article, E-Article |
geogr_code | not assigned |
geogr_code_person | not assigned |
id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuNDAyOC93d3cuc2NpZW50aWZpYy5uZXQva2VtLjM5Mi0zOTQuMjEx |
imprint | Trans Tech Publications, Ltd., 2008 |
imprint_str_mv | Trans Tech Publications, Ltd., 2008 |
institution | DE-Gla1, DE-Zi4, DE-15, DE-Rs1, DE-Pl11, DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-D161 |
issn | 1662-9795 |
issn_str_mv | 1662-9795 |
language | Undetermined |
last_indexed | 2024-03-01T12:11:39.21Z |
match_str | zhang2008anintelligentoptimizationapproachoffeedrateschedulingbasedonhybridsimulationmodels |
mega_collection | Trans Tech Publications, Ltd. (CrossRef) |
physical | 211-215 |
publishDate | 2008 |
publishDateSort | 2008 |
publisher | Trans Tech Publications, Ltd. |
record_format | ai |
recordtype | ai |
series | Key Engineering Materials |
source_id | 49 |
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 |