Loading…
Using Wear Curves to Predict the Cost of Changes in Cutting Conditions
A recently-proposed probability model for cutting tool lifetimes based on tool wear curves is presented. Optimal tool replacement strategies and cutting conditions are calculated using this wear-based model. The model’s use of wear curves permits extrapolation of cost calculations to cutting conditi...
Saved in:
Published in: | Journal of manufacturing science and engineering 1998-02, Vol.120 (1), p.166-168 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-a320t-78981eac8eb7f30e5a5e384043acc635406f00da38b1aab8487d51dc0ddc58393 |
---|---|
cites | cdi_FETCH-LOGICAL-a320t-78981eac8eb7f30e5a5e384043acc635406f00da38b1aab8487d51dc0ddc58393 |
container_end_page | 168 |
container_issue | 1 |
container_start_page | 166 |
container_title | Journal of manufacturing science and engineering |
container_volume | 120 |
creator | Chick, S Mendel, M. B |
description | A recently-proposed probability model for cutting tool lifetimes based on tool wear curves is presented. Optimal tool replacement strategies and cutting conditions are calculated using this wear-based model. The model’s use of wear curves permits extrapolation of cost calculations to cutting conditions for which little statistical data has been collected, assuming data is available for other cutting conditions which have the same failure mechanism. This is particularly important during process design changes, when data is expensive to obtain or limited in quantity. Analysis indicates that an important factor in tool replacement is run-in wear. |
doi_str_mv | 10.1115/1.2830094 |
format | article |
fullrecord | <record><control><sourceid>asme_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1115_1_2830094</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>434657</sourcerecordid><originalsourceid>FETCH-LOGICAL-a320t-78981eac8eb7f30e5a5e384043acc635406f00da38b1aab8487d51dc0ddc58393</originalsourceid><addsrcrecordid>eNo9kEFLw0AQhRdRsFYPnr3swYuH1JnMbrI5SrAqFPRg8Rimm02b0iZldyv475vS4mkezPcevCfEPcIEEfUzTlJDAIW6ECPUqUlMQfpy0GDyBEnn1-ImhDUAolE0EtN5aLul_HHsZbn3vy7I2Msv7-rWRhlXTpZ9iLJvZLnibjm8224AYzy6yr6r29j2XbgVVw1vgrs737GYT1-_y_dk9vn2Ub7MEqYUYpKbwqBja9wibwicZu3IKFDE1makFWQNQM1kFsi8MMrktcbaQl1bbaigsXg65Vrfh-BdU-18u2X_VyFUxwEqrM4DDOzjid1xsLxpPHe2Df-GFLMMNA3YwwnjsHXVut_7bmhQKVKZzukA_h9h1Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Using Wear Curves to Predict the Cost of Changes in Cutting Conditions</title><source>ASME Transactions Journals (Archives)</source><creator>Chick, S ; Mendel, M. B</creator><creatorcontrib>Chick, S ; Mendel, M. B</creatorcontrib><description>A recently-proposed probability model for cutting tool lifetimes based on tool wear curves is presented. Optimal tool replacement strategies and cutting conditions are calculated using this wear-based model. The model’s use of wear curves permits extrapolation of cost calculations to cutting conditions for which little statistical data has been collected, assuming data is available for other cutting conditions which have the same failure mechanism. This is particularly important during process design changes, when data is expensive to obtain or limited in quantity. Analysis indicates that an important factor in tool replacement is run-in wear.</description><identifier>ISSN: 1087-1357</identifier><identifier>EISSN: 1528-8935</identifier><identifier>DOI: 10.1115/1.2830094</identifier><language>eng</language><publisher>New York, NY: ASME</publisher><subject>Applied sciences ; Exact sciences and technology ; Mechanical engineering. Machine design</subject><ispartof>Journal of manufacturing science and engineering, 1998-02, Vol.120 (1), p.166-168</ispartof><rights>1998 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a320t-78981eac8eb7f30e5a5e384043acc635406f00da38b1aab8487d51dc0ddc58393</citedby><cites>FETCH-LOGICAL-a320t-78981eac8eb7f30e5a5e384043acc635406f00da38b1aab8487d51dc0ddc58393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,38519</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2166053$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Chick, S</creatorcontrib><creatorcontrib>Mendel, M. B</creatorcontrib><title>Using Wear Curves to Predict the Cost of Changes in Cutting Conditions</title><title>Journal of manufacturing science and engineering</title><addtitle>J. Manuf. Sci. Eng</addtitle><description>A recently-proposed probability model for cutting tool lifetimes based on tool wear curves is presented. Optimal tool replacement strategies and cutting conditions are calculated using this wear-based model. The model’s use of wear curves permits extrapolation of cost calculations to cutting conditions for which little statistical data has been collected, assuming data is available for other cutting conditions which have the same failure mechanism. This is particularly important during process design changes, when data is expensive to obtain or limited in quantity. Analysis indicates that an important factor in tool replacement is run-in wear.</description><subject>Applied sciences</subject><subject>Exact sciences and technology</subject><subject>Mechanical engineering. Machine design</subject><issn>1087-1357</issn><issn>1528-8935</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNo9kEFLw0AQhRdRsFYPnr3swYuH1JnMbrI5SrAqFPRg8Rimm02b0iZldyv475vS4mkezPcevCfEPcIEEfUzTlJDAIW6ECPUqUlMQfpy0GDyBEnn1-ImhDUAolE0EtN5aLul_HHsZbn3vy7I2Msv7-rWRhlXTpZ9iLJvZLnibjm8224AYzy6yr6r29j2XbgVVw1vgrs737GYT1-_y_dk9vn2Ub7MEqYUYpKbwqBja9wibwicZu3IKFDE1makFWQNQM1kFsi8MMrktcbaQl1bbaigsXg65Vrfh-BdU-18u2X_VyFUxwEqrM4DDOzjid1xsLxpPHe2Df-GFLMMNA3YwwnjsHXVut_7bmhQKVKZzukA_h9h1Q</recordid><startdate>19980201</startdate><enddate>19980201</enddate><creator>Chick, S</creator><creator>Mendel, M. B</creator><general>ASME</general><general>American Society of Mechanical Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19980201</creationdate><title>Using Wear Curves to Predict the Cost of Changes in Cutting Conditions</title><author>Chick, S ; Mendel, M. B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a320t-78981eac8eb7f30e5a5e384043acc635406f00da38b1aab8487d51dc0ddc58393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Applied sciences</topic><topic>Exact sciences and technology</topic><topic>Mechanical engineering. Machine design</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chick, S</creatorcontrib><creatorcontrib>Mendel, M. B</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Journal of manufacturing science and engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chick, S</au><au>Mendel, M. B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using Wear Curves to Predict the Cost of Changes in Cutting Conditions</atitle><jtitle>Journal of manufacturing science and engineering</jtitle><stitle>J. Manuf. Sci. Eng</stitle><date>1998-02-01</date><risdate>1998</risdate><volume>120</volume><issue>1</issue><spage>166</spage><epage>168</epage><pages>166-168</pages><issn>1087-1357</issn><eissn>1528-8935</eissn><abstract>A recently-proposed probability model for cutting tool lifetimes based on tool wear curves is presented. Optimal tool replacement strategies and cutting conditions are calculated using this wear-based model. The model’s use of wear curves permits extrapolation of cost calculations to cutting conditions for which little statistical data has been collected, assuming data is available for other cutting conditions which have the same failure mechanism. This is particularly important during process design changes, when data is expensive to obtain or limited in quantity. Analysis indicates that an important factor in tool replacement is run-in wear.</abstract><cop>New York, NY</cop><pub>ASME</pub><doi>10.1115/1.2830094</doi><tpages>3</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1087-1357 |
ispartof | Journal of manufacturing science and engineering, 1998-02, Vol.120 (1), p.166-168 |
issn | 1087-1357 1528-8935 |
language | eng |
recordid | cdi_crossref_primary_10_1115_1_2830094 |
source | ASME Transactions Journals (Archives) |
subjects | Applied sciences Exact sciences and technology Mechanical engineering. Machine design |
title | Using Wear Curves to Predict the Cost of Changes in Cutting Conditions |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T10%3A23%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-asme_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20Wear%20Curves%20to%20Predict%20the%20Cost%20of%20Changes%20in%20Cutting%20Conditions&rft.jtitle=Journal%20of%20manufacturing%20science%20and%20engineering&rft.au=Chick,%20S&rft.date=1998-02-01&rft.volume=120&rft.issue=1&rft.spage=166&rft.epage=168&rft.pages=166-168&rft.issn=1087-1357&rft.eissn=1528-8935&rft_id=info:doi/10.1115/1.2830094&rft_dat=%3Casme_cross%3E434657%3C/asme_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-a320t-78981eac8eb7f30e5a5e384043acc635406f00da38b1aab8487d51dc0ddc58393%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |