{"id":"https://openalex.org/W7214915484","doi":"https://doi.org/10.21203/rs.3.rs-10978358/v1","title":"A back propagation neural network with improved sine cosine algorithm approach for multi-response drilling optimization of carbon fiber reinforced polymer (CFRP)","display_name":"A back propagation neural network with improved sine cosine algorithm approach for multi-response drilling optimization of carbon fiber reinforced polymer (CFRP)","publication_year":2026,"publication_date":"2026-09-30","ids":{"openalex":"https://openalex.org/W7214915484","doi":"https://doi.org/10.21203/rs.3.rs-10978358/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-10978358/v1","doi":"https://doi.org/10.21203/rs.3.rs-10978358/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10978358/v1","pdf_url":"https://www.researchsquare.com/article/rs-10978358/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-10978358/latest.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003775870","display_name":"Rachmadi Norcahyo","orcid":"https://orcid.org/0000-0002-2914-8100","observed_orcids":["https://orcid.org/0000-0002-2914-8100"]},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rachmadi Norcahyo","raw_affiliation_strings":["Universitas Gadjah Mada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Gadjah Mada","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103127241","display_name":"Achmad Pratama Rifai","orcid":"https://orcid.org/0000-0003-4890-8344","observed_orcids":["https://orcid.org/0000-0003-4890-8344"]},"institutions":[{"id":"https://openalex.org/I165230279","display_name":"Universitas Gadjah Mada","ror":"https://ror.org/03ke6d638","country_code":"ID","type":"education","lineage":["https://openalex.org/I165230279"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Achmad Pratama Rifai","raw_affiliation_strings":["Universitas Gadjah Mada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universitas Gadjah Mada","institution_ids":["https://openalex.org/I165230279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049229821","display_name":"Setyo Tri Windras Mara","orcid":"https://orcid.org/0000-0001-7651-441X","observed_orcids":["https://orcid.org/0000-0001-7651-441X"]},"institutions":[{"id":"https://openalex.org/I188329596","display_name":"University of Canberra","ror":"https://ror.org/04s1nv328","country_code":"AU","type":"education","lineage":["https://openalex.org/I188329596"]},{"id":"https://openalex.org/I4394709116","display_name":"UNSW Canberra","ror":"https://ror.org/0125wpx05","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I4394709116"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Setyo Tri Windras Mara","raw_affiliation_strings":["UNSW Canberra"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNSW Canberra","institution_ids":["https://openalex.org/I188329596","https://openalex.org/I4394709116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044152397","display_name":"Bobby Oedy Pramoedyo Soepangkat","orcid":"https://orcid.org/0000-0001-9115-5777","observed_orcids":["https://orcid.org/0000-0001-9115-5777"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Bobby Oedy Pramoedyo Soepangkat","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember","institution_ids":["https://openalex.org/I166843116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027592823","display_name":"Mohammad Khoirul Effendi","orcid":"https://orcid.org/0000-0003-2856-3588","observed_orcids":["https://orcid.org/0000-0003-2856-3588"]},"institutions":[{"id":"https://openalex.org/I166843116","display_name":"Institut Teknologi Sepuluh Nopember","ror":"https://ror.org/05kbmmt89","country_code":"ID","type":"education","lineage":["https://openalex.org/I166843116"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Mohammad Khoirul Effendi","raw_affiliation_strings":["Institut Teknologi Sepuluh Nopember"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Teknologi Sepuluh Nopember","institution_ids":["https://openalex.org/I166843116"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.9570000171661377,"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":0.9570000171661377,"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":0.019200000911951065,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.014600000344216824,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/carbon-fiber-reinforced-polymer","display_name":"carbon fiber reinforced polymer","score":0.9200000166893005},{"id":"https://openalex.org/keywords/drilling","display_name":"drilling","score":0.6380000114440918},{"id":"https://openalex.org/keywords/multi-response-optimization","display_name":"multi-response optimization","score":0.8069999814033508},{"id":"https://openalex.org/keywords/back-propagation-neural-network","display_name":"BP neural network","score":0.9810000061988831},{"id":"https://openalex.org/keywords/improved-sine-cosine-algorithm","display_name":"improved sine cosine algorithm","score":0.9409999847412109},{"id":"https://openalex.org/keywords/thrust","display_name":"thrust","score":0.7229999899864197},{"id":"https://openalex.org/keywords/torque","display_name":"torque","score":0.9279999732971191},{"id":"https://openalex.org/keywords/delamination","display_name":"delamination","score":0.9620000123977661},{"id":"https://openalex.org/keywords/drilling-parameter-optimization","display_name":"drilling parameter optimization","score":0.8119999766349792},{"id":"https://openalex.org/keywords/adaptive-operator-selection","display_name":"adaptive operator selection","score":0.8119999766349792},{"id":"https://openalex.org/keywords/population-management","display_name":"population management","score":0.7860000133514404}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6352999806404114},{"id":"https://openalex.org/C25197100","wikidata":"https://www.wikidata.org/wiki/Q890886","display_name":"Drilling","level":2,"score":0.6243000030517578},{"id":"https://openalex.org/C30239060","wikidata":"https://www.wikidata.org/wiki/Q5253111","display_name":"Delamination (geology)","level":4,"score":0.5898000001907349},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.5151000022888184},{"id":"https://openalex.org/C79420006","wikidata":"https://www.wikidata.org/wiki/Q533668","display_name":"Thrust","level":2,"score":0.5034999847412109},{"id":"https://openalex.org/C186661526","wikidata":"https://www.wikidata.org/wiki/Q13647261","display_name":"Sine","level":2,"score":0.47780001163482666},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47450000047683716},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.451200008392334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44600000977516174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44600000977516174},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4180000126361847},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C96494537","wikidata":"https://www.wikidata.org/wiki/Q193057","display_name":"Forging","level":2,"score":0.3310999870300293},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2913999855518341},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C66907618","wikidata":"https://www.wikidata.org/wiki/Q207527","display_name":"Sine wave","level":3,"score":0.2567000091075897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-10978358/v1","doi":"https://doi.org/10.21203/rs.3.rs-10978358/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10978358/v1","pdf_url":"https://www.researchsquare.com/article/rs-10978358/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-10978358/v1","doi":"https://doi.org/10.21203/rs.3.rs-10978358/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10978358/v1","pdf_url":"https://www.researchsquare.com/article/rs-10978358/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[{"score":0.4943999946117401,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214915484.pdf","grobid_xml":"https://content.openalex.org/works/W7214915484.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1967830119","https://openalex.org/W1981327735","https://openalex.org/W1984359065","https://openalex.org/W2000144236","https://openalex.org/W2004554503","https://openalex.org/W2010933078","https://openalex.org/W2032101979","https://openalex.org/W2032982318","https://openalex.org/W2033178724","https://openalex.org/W2109101401","https://openalex.org/W2135331367","https://openalex.org/W2155043046","https://openalex.org/W2171211995","https://openalex.org/W2232317135","https://openalex.org/W2290883490","https://openalex.org/W2522873238","https://openalex.org/W2574227911","https://openalex.org/W2588031254","https://openalex.org/W2604133007","https://openalex.org/W2728864492","https://openalex.org/W2746076170","https://openalex.org/W2783827472","https://openalex.org/W2789457647","https://openalex.org/W2790106051","https://openalex.org/W2790531956","https://openalex.org/W2796596596","https://openalex.org/W2800540978","https://openalex.org/W2883591531","https://openalex.org/W2898785807","https://openalex.org/W2899710160","https://openalex.org/W2905789584","https://openalex.org/W2943049119","https://openalex.org/W2953586829","https://openalex.org/W2958071296","https://openalex.org/W2988558713","https://openalex.org/W2990390143","https://openalex.org/W2991523121","https://openalex.org/W2994788900","https://openalex.org/W3004958565","https://openalex.org/W3023273570","https://openalex.org/W3130849901","https://openalex.org/W4385431988","https://openalex.org/W4390638427","https://openalex.org/W4391815009","https://openalex.org/W4402972125","https://openalex.org/W4404106172"],"related_works":["https://openalex.org/W2988558713","https://openalex.org/W2883591531","https://openalex.org/W4392092353","https://openalex.org/W2953919944","https://openalex.org/W2921979778","https://openalex.org/W3202445376","https://openalex.org/W2522412400","https://openalex.org/W3136732058","https://openalex.org/W2183971287","https://openalex.org/W3012397375"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2],"study,":[3],"the":[4,24,42,46,83,87,99,123,130,133],"integration":[5],"of":[6,27,45,53,102,110,132],"Back":[7],"Propagation":[8],"Neural":[9],"Network":[10],"(BPNN)":[11],"with":[12],"an":[13],"Improved":[14],"Sine-Cosine":[15],"Algorithm":[16,105],"(ISCA)":[17],"is":[18,35,78,126],"proposed":[19,124],"to":[20,38,85,97,128],"predict":[21,41],"and":[22,40,71,112],"optimize":[23],"drilling":[25,47,54,89],"process":[26],"carbon":[28],"fiber":[29],"reinforced":[30],"polymer":[31],"(CFRP).":[32],"The":[33,76,117],"BPNN":[34],"firstly":[36],"performed":[37],"model":[39,77],"optimal":[43],"values":[44],"responses,":[48],"in":[49],"which":[50],"multiple":[51],"characteristics":[52],"performances":[55],"have":[56,119],"been":[57],"taken":[58],"into":[59],"account,":[60],"namely":[61],"thrust":[62],"force":[63],"(\\(\\:{\\text{F}}_{\\text{T}\\text{h}}\\)),":[64],"torque":[65],"(\\(\\:\\text{M}\\)),":[66],"hole":[67,72],"entry":[68],"delamination":[69,74],"(\\(\\:{\\text{F}\\text{D}}_{\\text{e}\\text{n}}\\)),":[70],"exit":[73],"(\\(\\:{\\text{F}\\text{D}}_{\\text{e}\\text{x}}\\)).":[75],"then":[79],"being":[80],"optimized":[81],"by":[82],"ISCA":[84],"obtain":[86],"best":[88],"parameters":[90],"level":[91],"combination.":[92],"Two":[93],"mechanisms":[94],"are":[95],"presented":[96],"improve":[98,129],"general":[100],"framework":[101],"Sine":[103],"Cosine":[104],"(SCA):":[106],"1)":[107],"adaptive":[108],"selection":[109],"operators,":[111],"2)":[113],"population":[114],"management":[115],"technique.":[116],"results":[118],"clearly":[120],"shown":[121],"that":[122],"approach":[125],"able":[127],"performance":[131],"standard":[134],"BPNN-SCA.":[135]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-10-01T00:00:00"}