{"doi":"10.3390/ma14123176","title":"Modelling and Prediction of Cutting Temperature in the Machining of H13 Hard Steel of Transient Heat Conduction","abstract":"<jats:p>Cutting heat conduction undergoes three stages that include intensity transient-state, transient-state, and steady-states. Especially during machining with coated cutting tools, in the conduction process, cutting heat needs to pass through a few micron thick coatings and then flow into the tool body. This heat conduction presents typical non-Fourier heat conduction characteristics. This paper focuses on the cutting temperature in transient heat conduction with a coated tool. A new analytical model to characterize the thermal shock based on the non-Fourier heat conduction was proposed. The distribution of cutting temperature in mono-layer coated tools during the machining was then illustrated. The cutting temperature distribution predicted by the Fourier heat conduction model was employed to compare with that by non-Fourier heat conduction in order to reveal the non-Fourier heat conduction effect in transient heat conduction. The results show that the transient heat conduction analytical model is more suitable for the intensity transient-state and transient-state in the process of cutting heat conduction.</jats:p>","journal":"Materials","year":2021,"id":40632,"datarank":0.642573001290246,"base_score":2.4849066497880004,"endowment":2.4849066497880004,"self_citation_contribution":0.37273599746820013,"citation_network_contribution":0.26983700382204584,"self_endowment_contribution":0.37273599746820013,"citer_contribution":0.26983700382204584,"corpus_percentile":null,"corpus_rank":null,"citation_count":11,"citer_count":11,"citers_with_citation_signal":7,"citers_with_endowment":7,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":197077,"name":"Xiangfei Meng","orcid":null,"position":1,"is_corresponding":false},{"id":197078,"name":"Jin Du","orcid":null,"position":2,"is_corresponding":false},{"id":197079,"name":"Guangchun Xiao","orcid":null,"position":3,"is_corresponding":false},{"id":197080,"name":"Zhaoqiang Chen","orcid":"0000-0003-3380-3689","position":4,"is_corresponding":false},{"id":197081,"name":"Mingdong Yi","orcid":null,"position":5,"is_corresponding":false},{"id":197082,"name":"Chonghai Xu","orcid":"0000-0001-6816-4325","position":6,"is_corresponding":false},{"id":197076,"name":"Jingjie Zhang","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.4849066497880004,"endowment":2.4849066497880004,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"34207650","pmcid":"PMC8229360","openalex_id":"https://openalex.org/W3167440036","authors":[],"funders":[],"total_grants":0,"fwci":0.9015,"citation_percentile":0.703268,"influential_citations":0,"citation_trend":[{"year":2022,"count":2},{"year":2023,"count":3},{"year":2024,"count":3},{"year":2025,"count":3}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://www.mdpi.com/1996-1944/14/12/3176/pdf?version=1623289999","host_type":"journal"},{"url":"https://www.mdpi.com/1996-1944/14/12/3176/pdf?version=1623289999","host_type":"GOLD"},{"url":"https://www.mdpi.com/1996-1944/14/12/3176/pdf?version=1623289999","host_type":"publisher"},{"url":"https://www.mdpi.com/1996-1944/14/12/3176/pdf","host_type":"publisher"},{"url":"https://doi.org/10.3390/ma14123176","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/34207650","host_type":"repository"},{"url":"https://doaj.org/article/ebed4cbb76a44113a28736548643cfe7","host_type":"repository"},{"url":"https://dx.doi.org/10.3390/ma14123176","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8229360","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC8229360","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC8229360?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Heat Transfer and Optimization","Laser and Thermal Forming Techniques","Advanced machining processes and optimization","Medicine","Engineering","Materials Science"],"mesh_terms":[],"keywords":["Thermal conduction","Transient (computer programming)","Materials science","Fourier number","Machining","Mechanics","Steady state (chemistry)","Fourier transform","Transient state","Heat transfer","Composite material","Heat flux","Chemistry","Metallurgy","Electrical engineering","Engineering","Laplace Transform","Transient Heat Conduction","Cutting Temperature","Coated Tool","Non-fourier Heat Conduction"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-12T08:27:51.808854Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}