Loading…
Controlling the material removal and roughness of Inconel 718 in laser machining
Nickel alloys including Inconel 718 are considered as challenging materials for machining. Laser beam machining could be a promising choice to deal with such materials for simple to complex machining features. The machining accuracy is mainly dependent on the rate of material removal per laser scan....
Saved in:
Published in: | Materials and manufacturing processes 2019-07, Vol.34 (10), p.1169-1181 |
---|---|
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-c310t-d041bf2ad18d2fa24b5d9dd785148caa830a92f7b65d60c10d962a7c10365d563 |
---|---|
cites | cdi_FETCH-LOGICAL-c310t-d041bf2ad18d2fa24b5d9dd785148caa830a92f7b65d60c10d962a7c10365d563 |
container_end_page | 1181 |
container_issue | 10 |
container_start_page | 1169 |
container_title | Materials and manufacturing processes |
container_volume | 34 |
creator | Ahmed, Naveed Rafaqat, Madiha Pervaiz, Salman Umer, Usama Alkhalefa, Hesham Shar, Muhammad Ali Mian, Syed Hammad |
description | Nickel alloys including Inconel 718 are considered as challenging materials for machining. Laser beam machining could be a promising choice to deal with such materials for simple to complex machining features. The machining accuracy is mainly dependent on the rate of material removal per laser scan. Because of the involvement of many laser parameters and complexity of the machining mechanism it is not always simple to achieve machining with desired accuracy. Actual machining depth extremely varies from very low to aggressively high values with reference to the designed depth. Thus, a research is needed to be carried out to control the process parameters to get actual material removal rate (MRR
act
) equals to the theoretical material removal rate (MRR
th
) with minimum surface roughness (SR) of the machined surfaces. In this study, five important laser parameters have been used to investigate their effects on MRR and SR. Statistical analysis are performed to identify the significant parameters with their strength of effects. Mathematical models have been developed and validated to predict the machining responses. Optimal set of laser parameters have also been proposed and confirmed to achieve the actual MRR close to the designed MRR (MRR
%
= 100.1%) with minimum surface roughness (R
a
= 2.67 µm). |
doi_str_mv | 10.1080/10426914.2019.1615082 |
format | article |
fullrecord | <record><control><sourceid>crossref_infor</sourceid><recordid>TN_cdi_crossref_primary_10_1080_10426914_2019_1615082</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_1080_10426914_2019_1615082</sourcerecordid><originalsourceid>FETCH-LOGICAL-c310t-d041bf2ad18d2fa24b5d9dd785148caa830a92f7b65d60c10d962a7c10365d563</originalsourceid><addsrcrecordid>eNp9kMtKAzEYhYMoWKuPIOQFpubPTOayU4qXgqALXYe_ubSRTCLJqPTtTWndujqHwzln8RFyDWwBrGc3wBreDtAsOINhAS0I1vMTMgNR84o3nTgtvnSqfemcXOT8wUqzAzEjr8sYphS9d2FDp62hI04mOfQ0mTF-F8WgaYpfm20wOdNo6SqoGIynHfTUBeoxm1RmautCObkkZxZ9NldHnZP3h_u35VP1_PK4Wt49V6oGNlWaNbC2HDX0mlvkzVroQeuuF9D0CrGvGQ7cdutW6JYpYHpoOXbF1CURbT0n4vCrUsw5GSs_kxsx7SQwucci_7DIPRZ5xFJ2t4edCzamEX9i8lpOuPMx2YRBuSzr_y9-AV_iaUI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Controlling the material removal and roughness of Inconel 718 in laser machining</title><source>Taylor and Francis Science and Technology Collection</source><source>BSC - Ebsco (Business Source Ultimate)</source><creator>Ahmed, Naveed ; Rafaqat, Madiha ; Pervaiz, Salman ; Umer, Usama ; Alkhalefa, Hesham ; Shar, Muhammad Ali ; Mian, Syed Hammad</creator><creatorcontrib>Ahmed, Naveed ; Rafaqat, Madiha ; Pervaiz, Salman ; Umer, Usama ; Alkhalefa, Hesham ; Shar, Muhammad Ali ; Mian, Syed Hammad</creatorcontrib><description>Nickel alloys including Inconel 718 are considered as challenging materials for machining. Laser beam machining could be a promising choice to deal with such materials for simple to complex machining features. The machining accuracy is mainly dependent on the rate of material removal per laser scan. Because of the involvement of many laser parameters and complexity of the machining mechanism it is not always simple to achieve machining with desired accuracy. Actual machining depth extremely varies from very low to aggressively high values with reference to the designed depth. Thus, a research is needed to be carried out to control the process parameters to get actual material removal rate (MRR
act
) equals to the theoretical material removal rate (MRR
th
) with minimum surface roughness (SR) of the machined surfaces. In this study, five important laser parameters have been used to investigate their effects on MRR and SR. Statistical analysis are performed to identify the significant parameters with their strength of effects. Mathematical models have been developed and validated to predict the machining responses. Optimal set of laser parameters have also been proposed and confirmed to achieve the actual MRR close to the designed MRR (MRR
%
= 100.1%) with minimum surface roughness (R
a
= 2.67 µm).</description><identifier>ISSN: 1042-6914</identifier><identifier>EISSN: 1532-2475</identifier><identifier>DOI: 10.1080/10426914.2019.1615082</identifier><language>eng</language><publisher>Taylor & Francis</publisher><subject>act ; Inconel 718 ; Intensity ; Laser ; Machining ; Modeling ; MRR ; Optimization ; Roughness ; Scanning</subject><ispartof>Materials and manufacturing processes, 2019-07, Vol.34 (10), p.1169-1181</ispartof><rights>2019 Taylor & Francis 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c310t-d041bf2ad18d2fa24b5d9dd785148caa830a92f7b65d60c10d962a7c10365d563</citedby><cites>FETCH-LOGICAL-c310t-d041bf2ad18d2fa24b5d9dd785148caa830a92f7b65d60c10d962a7c10365d563</cites><orcidid>0000-0002-7752-7199</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Ahmed, Naveed</creatorcontrib><creatorcontrib>Rafaqat, Madiha</creatorcontrib><creatorcontrib>Pervaiz, Salman</creatorcontrib><creatorcontrib>Umer, Usama</creatorcontrib><creatorcontrib>Alkhalefa, Hesham</creatorcontrib><creatorcontrib>Shar, Muhammad Ali</creatorcontrib><creatorcontrib>Mian, Syed Hammad</creatorcontrib><title>Controlling the material removal and roughness of Inconel 718 in laser machining</title><title>Materials and manufacturing processes</title><description>Nickel alloys including Inconel 718 are considered as challenging materials for machining. Laser beam machining could be a promising choice to deal with such materials for simple to complex machining features. The machining accuracy is mainly dependent on the rate of material removal per laser scan. Because of the involvement of many laser parameters and complexity of the machining mechanism it is not always simple to achieve machining with desired accuracy. Actual machining depth extremely varies from very low to aggressively high values with reference to the designed depth. Thus, a research is needed to be carried out to control the process parameters to get actual material removal rate (MRR
act
) equals to the theoretical material removal rate (MRR
th
) with minimum surface roughness (SR) of the machined surfaces. In this study, five important laser parameters have been used to investigate their effects on MRR and SR. Statistical analysis are performed to identify the significant parameters with their strength of effects. Mathematical models have been developed and validated to predict the machining responses. Optimal set of laser parameters have also been proposed and confirmed to achieve the actual MRR close to the designed MRR (MRR
%
= 100.1%) with minimum surface roughness (R
a
= 2.67 µm).</description><subject>act</subject><subject>Inconel 718</subject><subject>Intensity</subject><subject>Laser</subject><subject>Machining</subject><subject>Modeling</subject><subject>MRR</subject><subject>Optimization</subject><subject>Roughness</subject><subject>Scanning</subject><issn>1042-6914</issn><issn>1532-2475</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp9kMtKAzEYhYMoWKuPIOQFpubPTOayU4qXgqALXYe_ubSRTCLJqPTtTWndujqHwzln8RFyDWwBrGc3wBreDtAsOINhAS0I1vMTMgNR84o3nTgtvnSqfemcXOT8wUqzAzEjr8sYphS9d2FDp62hI04mOfQ0mTF-F8WgaYpfm20wOdNo6SqoGIynHfTUBeoxm1RmautCObkkZxZ9NldHnZP3h_u35VP1_PK4Wt49V6oGNlWaNbC2HDX0mlvkzVroQeuuF9D0CrGvGQ7cdutW6JYpYHpoOXbF1CURbT0n4vCrUsw5GSs_kxsx7SQwucci_7DIPRZ5xFJ2t4edCzamEX9i8lpOuPMx2YRBuSzr_y9-AV_iaUI</recordid><startdate>20190727</startdate><enddate>20190727</enddate><creator>Ahmed, Naveed</creator><creator>Rafaqat, Madiha</creator><creator>Pervaiz, Salman</creator><creator>Umer, Usama</creator><creator>Alkhalefa, Hesham</creator><creator>Shar, Muhammad Ali</creator><creator>Mian, Syed Hammad</creator><general>Taylor & Francis</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7752-7199</orcidid></search><sort><creationdate>20190727</creationdate><title>Controlling the material removal and roughness of Inconel 718 in laser machining</title><author>Ahmed, Naveed ; Rafaqat, Madiha ; Pervaiz, Salman ; Umer, Usama ; Alkhalefa, Hesham ; Shar, Muhammad Ali ; Mian, Syed Hammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c310t-d041bf2ad18d2fa24b5d9dd785148caa830a92f7b65d60c10d962a7c10365d563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>act</topic><topic>Inconel 718</topic><topic>Intensity</topic><topic>Laser</topic><topic>Machining</topic><topic>Modeling</topic><topic>MRR</topic><topic>Optimization</topic><topic>Roughness</topic><topic>Scanning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahmed, Naveed</creatorcontrib><creatorcontrib>Rafaqat, Madiha</creatorcontrib><creatorcontrib>Pervaiz, Salman</creatorcontrib><creatorcontrib>Umer, Usama</creatorcontrib><creatorcontrib>Alkhalefa, Hesham</creatorcontrib><creatorcontrib>Shar, Muhammad Ali</creatorcontrib><creatorcontrib>Mian, Syed Hammad</creatorcontrib><collection>CrossRef</collection><jtitle>Materials and manufacturing processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahmed, Naveed</au><au>Rafaqat, Madiha</au><au>Pervaiz, Salman</au><au>Umer, Usama</au><au>Alkhalefa, Hesham</au><au>Shar, Muhammad Ali</au><au>Mian, Syed Hammad</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Controlling the material removal and roughness of Inconel 718 in laser machining</atitle><jtitle>Materials and manufacturing processes</jtitle><date>2019-07-27</date><risdate>2019</risdate><volume>34</volume><issue>10</issue><spage>1169</spage><epage>1181</epage><pages>1169-1181</pages><issn>1042-6914</issn><eissn>1532-2475</eissn><abstract>Nickel alloys including Inconel 718 are considered as challenging materials for machining. Laser beam machining could be a promising choice to deal with such materials for simple to complex machining features. The machining accuracy is mainly dependent on the rate of material removal per laser scan. Because of the involvement of many laser parameters and complexity of the machining mechanism it is not always simple to achieve machining with desired accuracy. Actual machining depth extremely varies from very low to aggressively high values with reference to the designed depth. Thus, a research is needed to be carried out to control the process parameters to get actual material removal rate (MRR
act
) equals to the theoretical material removal rate (MRR
th
) with minimum surface roughness (SR) of the machined surfaces. In this study, five important laser parameters have been used to investigate their effects on MRR and SR. Statistical analysis are performed to identify the significant parameters with their strength of effects. Mathematical models have been developed and validated to predict the machining responses. Optimal set of laser parameters have also been proposed and confirmed to achieve the actual MRR close to the designed MRR (MRR
%
= 100.1%) with minimum surface roughness (R
a
= 2.67 µm).</abstract><pub>Taylor & Francis</pub><doi>10.1080/10426914.2019.1615082</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-7752-7199</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1042-6914 |
ispartof | Materials and manufacturing processes, 2019-07, Vol.34 (10), p.1169-1181 |
issn | 1042-6914 1532-2475 |
language | eng |
recordid | cdi_crossref_primary_10_1080_10426914_2019_1615082 |
source | Taylor and Francis Science and Technology Collection; BSC - Ebsco (Business Source Ultimate) |
subjects | act Inconel 718 Intensity Laser Machining Modeling MRR Optimization Roughness Scanning |
title | Controlling the material removal and roughness of Inconel 718 in laser machining |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T03%3A58%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_infor&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Controlling%20the%20material%20removal%20and%20roughness%20of%20Inconel%20718%20in%20laser%20machining&rft.jtitle=Materials%20and%20manufacturing%20processes&rft.au=Ahmed,%20Naveed&rft.date=2019-07-27&rft.volume=34&rft.issue=10&rft.spage=1169&rft.epage=1181&rft.pages=1169-1181&rft.issn=1042-6914&rft.eissn=1532-2475&rft_id=info:doi/10.1080/10426914.2019.1615082&rft_dat=%3Ccrossref_infor%3E10_1080_10426914_2019_1615082%3C/crossref_infor%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c310t-d041bf2ad18d2fa24b5d9dd785148caa830a92f7b65d60c10d962a7c10365d563%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 |