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        <full_title>International Journal of Mechanics</full_title>
        <issn media_type="electronic">1998-4448</issn>
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      <journal_article>
        <titles>
          <title>Application of WASPAS Method to Find the Best Input Factors in Internal Grinding SKD11 Tool Steel</title>
        </titles>
        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Vu Duc</given_name>
            <surname>Binh</surname>
            <affiliations>
              <institution>
                <institution_name>Viet Tri University of Industry, Vietnam</institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Le Duc</given_name>
            <surname>Bao</surname>
            <affiliations>
              <institution>
                <institution_name>Ha Noi University of Science and Technology, Vietnam</institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Dinh Van</given_name>
            <surname>Thanh</surname>
            <affiliations>
              <institution>
                <institution_name>East Asia University of Technology, Vietnam</institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Luu Anh</given_name>
            <surname>Tung</surname>
            <affiliations>
              <institution>
                <institution_name>Thai Nguyen University of Technology, Vietnam</institution_name>
              </institution>
            </affiliations>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Nguyen Thanh</given_name>
            <surname>Tu</surname>
            <affiliations>
              <institution>
                <institution_name>Thai Nguyen University of Technology, Vietnam</institution_name>
              </institution>
            </affiliations>
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        <jats:abstract xml:lang="en">
          <jats:p>The paper reports the results of an optimization study aimed at identifying the ideal input parameters for the internal grinding process of cylindrical-shaped SKD11 tool steel components. Initially, the MEREC method was employed to calculate the criterion weights. The Weighted Aggregates Sum Product Assessment (WASPAS) method was subsequently utilized to tackle the MCDM problem. Additionally, three objectives were examined: surface roughness (SR), material removal rate (MRR), and wheel life (Lw). Additionally, six input factors have been analyzed: rough dressing depth (ar), rough dressing times (nr), fine dressing depth (af), fine dressing times (nf), non-feeding dressing (n0), and dressing feed rate (Sd). The Taguchi method utilizing the L16 (44 + 22) design and the Minitab R19 software were employed to structure the experiment and analyze the results. The MCDM problem has been effectively addressed, and optimal process factors were found.</jats:p>
        </jats:abstract>
        <publication_date media_type="print">
          <month>01</month>
          <day>05</day>
          <year>2026</year>
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        <publication_date media_type="online">
          <month>01</month>
          <day>05</day>
          <year>2026</year>
        </publication_date>
        <pages>
          <first_page>1</first_page>
        </pages>
        <publisher_item>
          <item_number item_number_type="article_number">1</item_number>
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          <ai:license_ref>https://creativecommons.org/licenses/by/4.0/deed.en_US</ai:license_ref>
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          <doi>10.46300/9104.2026.20.1</doi>
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          <citation key="ref0">
            <unstructured_citation>Peng, R., R. Wang, J. Gao, L. Zhao, X. , J. Yao , Improve the grinding performance of Inconel 718 superalloys by using an internal cooling wheel with a phyllotaxy of abrasive arrangement. The International Journal of Advanced Manufacturing Technology, 2024. 135(5): p. 2517-2537. DOI: 10.1007/s00170-024-14625-1</unstructured_citation>
          </citation>
          <citation key="ref1">
            <unstructured_citation>Zhang, S., Z. Zhang, H. Xing, G. Hao, X. Liang , Analysis and optimization of abrasive waterjet dressing parameters for surface texturing of diamond grinding wheels. Diamond and Related Materials, 2024: p. 111661. DOI: 10.1016/j.diamond.2024.111661</unstructured_citation>
          </citation>
          <citation key="ref2">
            <unstructured_citation>Denkena, B., H. Klemme, and D. Stoppel, Condition monitoring of grinding wheels: Potential of internal control signals. Production Engineering, 2024: p. 1-11. DOI: 10.1007/s11740-024-01295-x</unstructured_citation>
          </citation>
          <citation key="ref3">
            <unstructured_citation>Jiang, L., Y. Du, Q. Song, Z. Liu, Q. Luan, H. Wang, C. Cao, Design and application of grooved grinding head for improving the machined surface quality of ceramic composites. Ceramics International, 2024. 50(20): p. 37954-37967. DOI: 10.1016/j.ceramint.2024.07.157</unstructured_citation>
          </citation>
          <citation key="ref4">
            <unstructured_citation>Hu, L., B. Li, L.H. Pueh, Z. Wang, Y. Wang, Effect of single/multi-particle grinding parameters on surface properties of bearing steel GCr15. Engineering Science and Technology, an International Journal, 2024. 58: p. 101851. DOI: 10.1016/j.jestch.2024.101851</unstructured_citation>
          </citation>
          <citation key="ref5">
            <unstructured_citation>Irazu, E., U. Alonso, B. Izquierdo, L. Godino , Grinding of C/SiC ceramic matrix composites: Influence of grinding parameters on tool wear. Wear, 2024. 558: p. 205582. DOI: 10.1016/j.wear.2024.205582</unstructured_citation>
          </citation>
          <citation key="ref6">
            <unstructured_citation>Wang, F., S. Xuan, Z. Chang, K. Jin, Y. Gao, H. Wang, Q. Song , Effect of Grinding Parameters on Industrial Robot Grinding of CFRP and Defect Formation Mechanism. International Journal of Precision Engineering and Manufacturing-Green Technology, 2024. 11(2): p. 427-438. DOI: 10.1007/s40684-023-00561-0</unstructured_citation>
          </citation>
          <citation key="ref7">
            <unstructured_citation>Liu, H., H. Han, Q. Jiang, B. Zhang , Mechanisms in the machinability improvement of Inconel 718 superalloy through ultra-high-speed grinding. Journal of Materials Processing Technology, 2024. 333: p. 118614. DOI: 10.1016/j.jmatprotec.2024.118614</unstructured_citation>
          </citation>
          <citation key="ref8">
            <unstructured_citation>Jin, G., Y. Gao, P. Huang, J. Zhou, Y. Tang , Surface roughness in grinding outer ring inner raceway of tapered roller bearing. The International Journal of Advanced Manufacturing Technology, 2024. 131(5): p. 2447-2463. DOI: 10.1007/s00170-023-11793-4</unstructured_citation>
          </citation>
          <citation key="ref9">
            <unstructured_citation>Meng, Q., B. Guo, K. Li, G. Wu, H. Zhao, J. Jia, Z. Guo, Q. Zhao, Stability prediction and optimization of multiregenerative weak stiffness grinding system based on microstructured tool. Mechanical Systems and Signal Processing, 2024. 208: p. 111010. DOI: 10.1016/j.ymssp.2023.111010</unstructured_citation>
          </citation>
          <citation key="ref10">
            <unstructured_citation>Hu, L., H. Zhang, J. Zha, Y. Chen, Surface topography of cylindrical precision grinding based on multi-source information fusion. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2024. 238(6): p. 2894-2907. DOI: 10.1177/09544089231166657</unstructured_citation>
          </citation>
          <citation key="ref11">
            <unstructured_citation>Xin, H., X. Dong, C. Xian, Q. Cheng, H. Dai, C. Yao, M. Cui, G. Li , Study on the formation of surface affected layer in grinding ultra-high strength steel. The International Journal of Advanced Manufacturing Technology, 2024. 135(5): p. 2191-2213. DOI: 10.1007/s00170-024-14643-z</unstructured_citation>
          </citation>
          <citation key="ref12">
            <unstructured_citation>Hung, L.X., T.N. Giang, Q.. Tran, N.H. Linh, D.N. Nguyen, V.N. Pi , Determining the optimum set of dressing parameters satisfying minimum surface roughness when conducting the internal grinding of hardened SKD11 steel. Solid State Phenomena, 2021. 324: p. 58-65. DOI: 10.4028/www.scientific.net/SSP.324.58</unstructured_citation>
          </citation>
          <citation key="ref13">
            <unstructured_citation>Liu, Y., A. Warkentin, R. Bauer, Y. Gong , Investigation of different grain shapes and dressing to predict surface roughness in grinding using kinematic simulations. Precision Engineering, 2013. 37(3): p. 758-764. DOI: 10.1016/j.precisioneng.2013.02.009</unstructured_citation>
          </citation>
          <citation key="ref14">
            <unstructured_citation>Novikov, F., A. Hutorov, O. Yermolenko, O. Yermolenko, A. Ivashura , Theoretical Justification for Increasing Efficiency of Grinding Technological Processes Based on the Reduction of Cutting Temperature, in Design, Simulation, Manufacturing: The Innovation Exchange. 2024, Springer. p. 309-318. DOI: 10.1007/978-3-031-61797-3_26</unstructured_citation>
          </citation>
          <citation key="ref15">
            <unstructured_citation>Zavadskas, E.K., J. Antuchevičienė, J. Šaparauskas, Z. Turskis, MCDM methods WASPAS and MULTIMOORA: Verification of robustness of methods when assessing alternative solutions. Journal of Economic Computation and Economic Cybernetics Studies and Research, No. 2, Vol. 47, 2013, p. 5-20. -</unstructured_citation>
          </citation>
          <citation key="ref16">
            <unstructured_citation>Keshavarz-Ghorabaee, M., M. Amiri, E. K. Zavadskas, Z. Turskis, J. Antucheviciene, Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 2021. 13(4): p. 525. DOI: 10.3390/sym13040525</unstructured_citation>
          </citation>
        </citation_list>
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