{"id":"https://openalex.org/W7216744252","doi":null,"title":"AI-Driven Optimization of Drilling Parameters for Minimizing Delamination and Improving Surface Quality in Hybrid Polymer Composites","display_name":"AI-Driven Optimization of Drilling Parameters for Minimizing Delamination and Improving Surface Quality in Hybrid Polymer Composites","publication_year":2024,"publication_date":"2024-06-12","ids":{"openalex":"https://openalex.org/W7216744252"},"language":"en","primary_location":{"id":"pmh:oai:www.ijisae.org:article/7225","doi":null,"is_oa":true,"landing_page_url":"https://ijisae.org/index.php/IJISAE/article/view/7225","pdf_url":"https://ijisae.org/index.php/IJISAE/article/download/7225/6194","source":{"id":"https://openalex.org/S2764360368","display_name":"International Journal of Intelligent Systems and Applications in Engineering","issn_l":"2147-6799","issn":["2147-6799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2147-6799","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ijisae.org/index.php/IJISAE/article/download/7225/6194","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107130768","display_name":"Yogesh Dinkar Jadhav","orcid":"https://orcid.org/0009-0004-5268-8131","observed_orcids":["https://orcid.org/0009-0004-5268-8131"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yogesh Dinkar Jadhav","raw_affiliation_strings":["Assistant professor , Pune , Maharashtra - 411046 , India","Department of Mechanical Engineering , Professor , Sinhgad College of Engineering (scoe) , vadgaon bk , pune , Maharashtra - 411041 , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant professor , Pune , Maharashtra - 411046 , India","institution_ids":[]},{"raw_affiliation_string":"Department of Mechanical Engineering , Professor , Sinhgad College of Engineering (scoe) , vadgaon bk , pune , Maharashtra - 411041 , India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5107130768"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9990000128746033,"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":0.9990000128746033,"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":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11948","display_name":"Machine Learning in Materials Science","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hybrid-polymer-composites","display_name":"hybrid polymer composites","score":0.921999990940094},{"id":"https://openalex.org/keywords/drilling","display_name":"drilling","score":0.9309999942779541},{"id":"https://openalex.org/keywords/delamination","display_name":"delamination","score":0.6679999828338623},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"surface roughness","score":0.8009999990463257},{"id":"https://openalex.org/keywords/thrust","display_name":"thrust","score":0.8220000267028809},{"id":"https://openalex.org/keywords/machining-parameter-optimization","display_name":"machining parameter optimization","score":0.8880000114440918},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8320000171661377},{"id":"https://openalex.org/keywords/spindle-speed","display_name":"spindle speed","score":0.9629999995231628},{"id":"https://openalex.org/keywords/feed-rate","display_name":"feed rate","score":0.9990000128746033},{"id":"https://openalex.org/keywords/drill-point-angle","display_name":"drill point angle","score":0.7609999775886536}],"concepts":[{"id":"https://openalex.org/C79420006","wikidata":"https://www.wikidata.org/wiki/Q533668","display_name":"Thrust","level":2,"score":0.76419997215271},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.7537999749183655},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.6654000282287598},{"id":"https://openalex.org/C30239060","wikidata":"https://www.wikidata.org/wiki/Q5253111","display_name":"Delamination (geology)","level":4,"score":0.6004999876022339},{"id":"https://openalex.org/C25197100","wikidata":"https://www.wikidata.org/wiki/Q890886","display_name":"Drilling","level":2,"score":0.5507000088691711},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.5221999883651733},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5142999887466431},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5051000118255615},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4440000057220459},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.43619999289512634},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.38530001044273376},{"id":"https://openalex.org/C104304963","wikidata":"https://www.wikidata.org/wiki/Q5316114","display_name":"Durability","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.3458999991416931},{"id":"https://openalex.org/C521977710","wikidata":"https://www.wikidata.org/wiki/Q81163","display_name":"Polymer","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3167000114917755},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C2780383046","wikidata":"https://www.wikidata.org/wiki/Q1760958","display_name":"Cutting tool","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.259799987077713}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:www.ijisae.org:article/7225","doi":null,"is_oa":true,"landing_page_url":"https://ijisae.org/index.php/IJISAE/article/view/7225","pdf_url":"https://ijisae.org/index.php/IJISAE/article/download/7225/6194","source":{"id":"https://openalex.org/S2764360368","display_name":"International Journal of Intelligent Systems and Applications in Engineering","issn_l":"2147-6799","issn":["2147-6799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2147-6799","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:www.ijisae.org:article/7225","doi":null,"is_oa":true,"landing_page_url":"https://ijisae.org/index.php/IJISAE/article/view/7225","pdf_url":"https://ijisae.org/index.php/IJISAE/article/download/7225/6194","source":{"id":"https://openalex.org/S2764360368","display_name":"International Journal of Intelligent Systems and Applications in Engineering","issn_l":"2147-6799","issn":["2147-6799"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-4"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2147-6799","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6773999929428101}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7216744252.pdf","grobid_xml":"https://content.openalex.org/works/W7216744252.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2795117539","https://openalex.org/W2967179160","https://openalex.org/W3093805587","https://openalex.org/W3119962937","https://openalex.org/W3151056563","https://openalex.org/W3189179829","https://openalex.org/W3199059245","https://openalex.org/W4224018015","https://openalex.org/W4289518760","https://openalex.org/W4308577602","https://openalex.org/W4309787480","https://openalex.org/W4319066259","https://openalex.org/W4319341395","https://openalex.org/W4321452256","https://openalex.org/W4323922288","https://openalex.org/W4360999321","https://openalex.org/W4376863166","https://openalex.org/W4385755820","https://openalex.org/W4386142442","https://openalex.org/W4386525036","https://openalex.org/W4387371678","https://openalex.org/W4387400981","https://openalex.org/W4392488769","https://openalex.org/W4392806047","https://openalex.org/W4395453691"],"related_works":["https://openalex.org/W3068990198","https://openalex.org/W2795316276","https://openalex.org/W2795117539","https://openalex.org/W4284896313","https://openalex.org/W4412687295","https://openalex.org/W2967599059","https://openalex.org/W4399296018","https://openalex.org/W7154470645","https://openalex.org/W4411099604","https://openalex.org/W7167934845"],"abstract_inverted_index":{"Hybrid":[0],"polymer":[1,84,166],"composites":[2,29],"are":[3],"growingly":[4],"adopted":[5],"in":[6,27],"industrial":[7,188],"applications":[8],"due":[9],"to":[10,18,36,49,57,69,97],"their":[11],"exceptional":[12],"strength-to-weight":[13],"ratio,":[14],"and":[15,20,43,51,94,121,137,154,178,181,187],"excellent":[16],"durability":[17],"corrosion":[19],"wear.":[21],"Drilling,":[22],"a":[23],"crucial":[24],"machining":[25,71,163],"operation":[26],"these":[28],"is":[30,88],"influenced":[31],"by":[32],"various":[33],"parameters,":[34],"leading":[35],"challenges":[37],"like":[38],"delamination,":[39,91,126,175],"micro-cracks,":[40],"thermal":[41],"damage,":[42],"excessive":[44],"thrust":[45,92,109,176],"force":[46],"can":[47],"lead":[48],"inefficiencies":[50],"material":[52],"damage.":[53],"This":[54],"research":[55],"aims":[56],"develop":[58],"an":[59,111,127,144],"Artificial":[60],"intelligence":[61],"(AI)":[62],"model":[63,103],"using":[64],"Support":[65],"Vector":[66],"Machine":[67],"(SVM)":[68],"optimize":[70],"parameters":[72],"(spindle":[73],"speed,":[74],"feed":[75],"rate,":[76],"point":[77],"angle)":[78],"during":[79],"the":[80,162],"drilling":[81,99,172],"of":[82,113,116,119,123,129,132,135,139,146,149,152,156,164],"hybrid":[83,165],"composites.":[85],"The":[86,101,158],"focus":[87],"on":[89],"predicting":[90],"force,":[93,110,177],"Surface":[95,142,179],"roughness":[96],"enhance":[98],"efficiency.":[100],"SVM":[102],"achieves":[104],"impressive":[105],"performance":[106],"metrics:":[107],"for":[108,125,141],"MSE":[112,128,145],"0.63569,":[114],"RMSE":[115,131,148],"0.821569,":[117],"NRMSE":[118,134,151],"0.015246,":[120],"MAPE":[122,138,155],"1.32548;":[124],"0.008952,":[130],"0.09652,":[133],"1.45263,":[136],"6.49852;":[140],"roughness,":[143,180],"0.67852,":[147],"0.82356,":[150],"0.15365,":[153],"13.025.":[157],"findings":[159],"will":[160],"advance":[161],"composites,":[167],"providing":[168],"industries":[169],"with":[170],"improved":[171],"processes,":[173,184],"minimizing":[174],"enhancing":[182],"manufacturing":[183],"product":[185],"quality,":[186],"competitiveness.":[189]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-10-03T00:00:00"}