{"id":"https://openalex.org/W1567953936","doi":"https://doi.org/10.3233/ifs-141310","title":"Surface roughness prediction model using adaptive particle swarm optimization (APSO) algorithm","display_name":"Surface roughness prediction model using adaptive particle swarm optimization (APSO) algorithm","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1567953936","doi":"https://doi.org/10.3233/ifs-141310","mag":"1567953936"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-141310","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-141310","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065706492","display_name":"S. Senthil Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Senthil Babu","raw_affiliation_strings":["Faculty of Engineering and Technology, SME, SRM University, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Technology, SME, SRM University, Tamilnadu, India","institution_ids":["https://openalex.org/I4210131147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112011686","display_name":"B. K. Vinayagam","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131147","display_name":"SRM University","ror":"https://ror.org/037skf023","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018","https://openalex.org/I4210131147"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B.K. Vinayagam","raw_affiliation_strings":["Department of Mechatronics, SME, SRM University, Tamilnadu, India"],"affiliations":[{"raw_affiliation_string":"Department of Mechatronics, SME, SRM University, Tamilnadu, India","institution_ids":["https://openalex.org/I4210131147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065706492"],"corresponding_institution_ids":["https://openalex.org/I4210131147"],"apc_list":null,"apc_paid":null,"fwci":1.2321,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79061802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"1","first_page":"345","last_page":"360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9247999787330627,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.8297963738441467},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.6532334089279175},{"id":"https://openalex.org/keywords/surface-finish","display_name":"Surface finish","score":0.527862012386322},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.4878528118133545},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48485979437828064},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4810898005962372},{"id":"https://openalex.org/keywords/surface-integrity","display_name":"Surface integrity","score":0.4498072862625122},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4447070062160492},{"id":"https://openalex.org/keywords/drilling","display_name":"Drilling","score":0.44305723905563354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.325160950422287},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.30756253004074097},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20968756079673767},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.11990338563919067}],"concepts":[{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.8297963738441467},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.6532334089279175},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.527862012386322},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.4878528118133545},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48485979437828064},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4810898005962372},{"id":"https://openalex.org/C2776363543","wikidata":"https://www.wikidata.org/wiki/Q7645982","display_name":"Surface integrity","level":3,"score":0.4498072862625122},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4447070062160492},{"id":"https://openalex.org/C25197100","wikidata":"https://www.wikidata.org/wiki/Q890886","display_name":"Drilling","level":2,"score":0.44305723905563354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.325160950422287},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.30756253004074097},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20968756079673767},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.11990338563919067},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-141310","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-141310","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W194227629","https://openalex.org/W1978618432","https://openalex.org/W1992766001","https://openalex.org/W2017668291","https://openalex.org/W2032769515","https://openalex.org/W2032971627","https://openalex.org/W2033613435","https://openalex.org/W2034278122","https://openalex.org/W2042581041","https://openalex.org/W2048669588","https://openalex.org/W2073782888","https://openalex.org/W2081033457","https://openalex.org/W2082412098","https://openalex.org/W2117307616","https://openalex.org/W2119711457","https://openalex.org/W2123014198","https://openalex.org/W2139051817","https://openalex.org/W2140347912","https://openalex.org/W2140499752","https://openalex.org/W2156714842","https://openalex.org/W2285379334","https://openalex.org/W2377291090"],"related_works":["https://openalex.org/W1966177605","https://openalex.org/W2046428671","https://openalex.org/W2095568325","https://openalex.org/W1998730877","https://openalex.org/W2072908148","https://openalex.org/W2580527134","https://openalex.org/W2067013522","https://openalex.org/W2422442333","https://openalex.org/W2893317838","https://openalex.org/W1969467123"],"abstract_inverted_index":{"For":[0],"a":[1,17,120,287,296,374,395,421],"decade,":[2],"surface":[3,55,77,136,158,173,200,239,277,304,312,357],"roughness":[4,32,78,159,174,201,240,305,313],"is":[5,138,152,217,246,269,286,314,327,346,394],"considered":[6,256],"as":[7,26,28,206,284],"the":[8,21,37,96,100,105,112,126,129,147,157,161,172,176,184,193,223,230,250,255,261,267,273,303,331,337,354,365,401,409,418],"main":[9],"factor":[10,141],"of":[11,23,54,85,122,160,165,175,180,192,213,226,306,311,356],"product":[12],"quality":[13],"since":[14,183],"it":[15,117,151,245],"has":[16,33],"great":[18],"influence":[19],"on":[20,36,69,222],"performance":[22],"mechanical":[24,38],"parts":[25],"well":[27],"production":[29,130],"cost.":[30],"Surface":[31],"an":[34,139,347],"impact":[35],"properties":[39],"like":[40],"fatigue":[41],"behavior,":[42],"corrosion":[43],"resistance,":[44],"creep":[45],"life,":[46],"etc.":[47],"There":[48],"are":[49,58,79,195],"various":[50],"methods":[51,67,282],"for":[52,198,235,254,276],"measurement":[53,60],"roughness.":[56,278,358],"They":[57],"direct":[59],"methods,":[61],"comparison":[62],"based":[63,221],"techniques,":[64],"non":[65],"contact":[66],"and":[68,92,109,128,187,211,229,237,258,293,322,349,370,406],"process":[70,127],"measurement.":[71],"The":[72,333],"parameters":[73,204],"which":[74],"lead":[75],"to":[76,124,142,155,248,271,329,362,420],"cutting":[80,87,89,207,252],"speed,":[81,208],"feed":[82,209,375],"rate,":[83,210],"depth":[84,212],"cut,":[86],"environment,":[88],"tool":[90,106],"wears":[91],"so":[93],"on.":[94],"In":[95],"drilling":[97,148],"process,":[98],"if":[99,111],"speed":[101,113],"becomes":[102,114],"too":[103,115],"high":[104],"will":[107,118,132],"break":[108],"also":[110],"low":[116],"take":[119],"lot":[121,164],"time":[123],"complete":[125],"rate":[131],"go":[133],"down.":[134],"Thus,":[135],"finish":[137],"important":[140],"taken":[143],"into":[144],"account":[145],"in":[146,170,241,290,301,352,360,399],"process.":[149],"So,":[150],"more":[153],"necessary":[154],"predict":[156],"materials.":[162,177,307],"A":[163],"researchers":[166],"have":[167],"been":[168],"contributed":[169],"predicting":[171,199,238,302],"However,":[178,359],"many":[179],"them":[181],"failed":[182],"input":[185,291,368,404],"model":[186,197,216,264,292,310,369,379,390,405,416],"output":[188,407],"categorization":[189],"varies.":[190],"Some":[191],"research":[194,298,334],"ANN":[196],"from":[202],"machining":[203,275],"such":[205],"cut.":[214],"Another":[215],"hybrid":[218],"modeling":[219,236],"approach,":[220],"group":[224],"method":[225,351,398],"data":[227],"handling":[228],"differential":[231],"evolution":[232],"population-based":[233],"algorithm,":[234],"turning":[242],"operations.":[243],"But":[244],"difficult":[247],"calculate":[249],"optimal":[251,274],"conditions":[253],"material":[257],"tool.":[259],"Also":[260],"neural":[262,320,344,377],"network":[263,321,345,378],"coupled":[265,340],"with":[266,341],"GA":[268],"proposed":[270,373,388,415],"determine":[272],"But,":[279],"all":[280],"these":[281],"fail":[283],"there":[285],"large":[288],"variation":[289,366,402],"output.":[294],"Moreover,":[295],"recent":[297],"was":[299],"conducted":[300],"This":[308],"predictive":[309],"created":[315],"by":[316],"using":[317,380,391],"back":[318,342],"propagation":[319,343],"EM":[323,338],"(Electromagnetism)":[324],"optimization":[325],"algorithm":[326,339,393],"used":[328],"optimize":[330],"problem.":[332],"showed":[335],"that":[336],"efficient":[348,397],"accurate":[350],"obtaining":[353],"minimum":[355],"order":[361],"further":[363],"reduce":[364],"between":[367,403],"output,":[371],"we":[372],"forward":[376],"APSO":[381,392],"(Adaptive":[382],"particle":[383],"swarm":[384],"optimization)":[385],"algorithm.":[386,412],"Our":[387],"prediction":[389],"very":[396],"decreasing":[400],"than":[408,424],"conventional":[410],"PSO":[411],"Also,":[413],"our":[414],"minimizes":[417],"error":[419],"greater":[422],"extent":[423],"any":[425],"other":[426],"method.":[427]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-25T14:43:58.451035","created_date":"2025-10-10T00:00:00"}