Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116196
DC FieldValueLanguage
dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorZhang, Zen_US
dc.creatorCheung, CFen_US
dc.creatorHo, LTen_US
dc.creatorWang, Cen_US
dc.date.accessioned2025-11-28T03:59:31Z-
dc.date.available2025-11-28T03:59:31Z-
dc.identifier.issn0043-1648en_US
dc.identifier.urihttp://hdl.handle.net/10397/116196-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectComputational fluid dynamicsen_US
dc.subjectFluid jet polishingen_US
dc.subjectPhysical modelen_US
dc.subjectTool marks removalen_US
dc.subjectUltra-precision machiningen_US
dc.titleMechanistic insights and modeling of tool mark removal in fluid jet polishing for ultra-precision machiningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume578-579en_US
dc.identifier.doi10.1016/j.wear.2025.206146en_US
dcterms.abstractTool marks, which are unavoidable surface defects in ultra-precision machining processes such as milling, grinding, and turning, can significantly degrade the performance of high-end components. Therefore, the elimination of these marks to achieve a smooth finish is imperative. Fluid jet polishing has emerged as a promising technique owing to its shape-adaptive characteristics, which allow for effective application on both freeform and structured surfaces while ensuring high dimensional accuracy. However, the underlying mechanism of tool mark removal in fluid jet polishing remains poorly understood, posing a challenge to predicting its efficacy. Currently, the effectiveness of tool mark removal is primarily evaluated through laborious trial-and-error experimentation. This study seeks to elucidate the mechanism of tool mark removal in fluid jet polishing to enhance its efficacy. A physical model was established to simulate the abrasive erosion selectivity and the evolution of tool mark morphologies. A comprehensive set of experiments was conducted to validate the model's accuracy. By leveraging this physical model, manufacturers can gain critical insights into the tool mark removal process and make informed decisions to optimize the parameters in fluid jet polishing. Ultimately, this research advances the quality and performance of high-end components in ultra-precision machining.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationWear, 15 Sept. 2025, v. 578-579, 206146en_US
dcterms.isPartOfWearen_US
dcterms.issued2025-09-15-
dc.identifier.scopus2-s2.0-105006587275-
dc.identifier.artn206146en_US
dc.description.validate202511 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000402/2025-11-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe work described in this paper was primarily supported by a grant from the Research Grants Council of the Government of the Hong Kong Special Administrative Region, China (Project No. 15200119), the Shenzhen-Hong Kong-Macau Technology Research Programme (Project No: SGDX20220530110804030), the Research and Innovation Office of The Hong Kong Polytechnic University (Project code: 1-BECE and 4-ZZSA) and the research studentships (Project code: RK3M).en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-09-15en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
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