{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T09:02:41Z","timestamp":1776330161864,"version":"3.50.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100020595","name":"National Science and Technology Council","doi-asserted-by":"publisher","award":["MOST 109-2622-E-167-015"],"award-info":[{"award-number":["MOST 109-2622-E-167-015"]}],"id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1007\/s10845-024-02350-1","type":"journal-article","created":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T09:12:10Z","timestamp":1711962730000},"page":"2387-2408","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Input attribute optimization for thermal deformation of machine-tool spindles using artificial intelligence"],"prefix":"10.1007","volume":"36","author":[{"given":"Swami Nath","family":"Maurya","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1894-8855","authenticated-orcid":false,"given":"Win-Jet","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Bivas","family":"Panigrahi","sequence":"additional","affiliation":[]},{"given":"Prateek","family":"Negi","sequence":"additional","affiliation":[]},{"given":"Pei-Tang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,4,1]]},"reference":[{"key":"2350_CR1","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.1007\/s12206-018-0242-5","volume":"32","author":"WM Chiang","year":"2018","unstructured":"Chiang, W. M., Luo, W. J., & Wang, F.-J. (2018). Temperature control scheme using hot-gas bypass for a machine tool oil cooler. Journal of Mechanical Science and Technology, 32, 1391. https:\/\/doi.org\/10.1007\/s12206-018-0242-5","journal-title":"Journal of Mechanical Science and Technology"},{"key":"2350_CR2","doi-asserted-by":"publisher","first-page":"1305","DOI":"10.4028\/www.scientific.net\/AMR.154-155.1305","volume-title":"Thermal errors simulation and modeling of motorized spindle","author":"LY Cui","year":"2011","unstructured":"Cui, L. Y., Zhang, D. W., Gao, W. G., Qi, X. Y., & Shen, Y. (2011). Thermal errors simulation and modeling of motorized spindle (pp. 1305\u20131309). Trans Tech Publications. https:\/\/doi.org\/10.4028\/www.scientific.net\/AMR.154-155.1305"},{"key":"2350_CR3","doi-asserted-by":"publisher","first-page":"3273","DOI":"10.1007\/s00170-020-06069-0","volume":"110","author":"B Denkena","year":"2020","unstructured":"Denkena, B., Bergmann, B., & Klemme, H. (2020). Cooling of motor spindles\u2014A review. The International Journal of Advanced Manufacturing Technology, 110, 3273\u20133294. https:\/\/doi.org\/10.1007\/s00170-020-06069-0","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR4","doi-asserted-by":"publisher","first-page":"2581","DOI":"10.1007\/s00170-016-8651-z","volume":"87","author":"B Fang","year":"2016","unstructured":"Fang, B., Gu, T., Ye, D., & Luo, T. (2016). An improved thermo-mechanical model for vertical machining center. The International Journal of Advanced Manufacturing Technology, 87, 2581\u20132592. https:\/\/doi.org\/10.1007\/s00170-016-8651-z","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR5","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s10010-011-0144-5","volume":"75","author":"V Filipovic","year":"2011","unstructured":"Filipovic, V., Nedic, N., & Stojanovic, V. (2011). Robuste Identifikation von pneumatischen Servo-Aktuatoren in der realen Situationen. Forschung im Ingenieurwesen, 75, 183\u2013196. https:\/\/doi.org\/10.1007\/s10010-011-0144-5","journal-title":"Forschung im Ingenieurwesen"},{"key":"2350_CR6","doi-asserted-by":"publisher","first-page":"111121","DOI":"10.1016\/j.measurement.2022.111121","volume":"195","author":"G Fu","year":"2022","unstructured":"Fu, G., Zhou, L., Zheng, Y., Caijiang, L., Wang, X., & Xie, L. (2022). Improved unscented Kalman filter algorithm-based rapid identification of thermal errors of machine tool spindle for shortening thermal equilibrium time. Measurement, 195, 111121. https:\/\/doi.org\/10.1016\/j.measurement.2022.111121","journal-title":"Measurement"},{"key":"2350_CR7","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.ijmachtools.2018.04.004","volume":"132","author":"SN Grama","year":"2018","unstructured":"Grama, S. N., Mathur, A., & Badhe, A. N. (2018). A model-based cooling strategy for motorized spindle to reduce thermal errors. International Journal of Machine Tools and Manufacture, 132, 3\u201316. https:\/\/doi.org\/10.1016\/j.ijmachtools.2018.04.004","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"2350_CR8","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.jmatprotec.2007.12.067","volume":"207","author":"W Hao","year":"2008","unstructured":"Hao, W., Hongtao, Z., Qianjian, G., Xiushan, W., & Jianguo, Y. (2008). Thermal error optimization modeling and real-time compensation on a CNC turning center. Journal of Materials Processing Technology, 207, 172\u2013179. https:\/\/doi.org\/10.1016\/j.jmatprotec.2007.12.067","journal-title":"Journal of Materials Processing Technology"},{"issue":"13","key":"2350_CR9","doi-asserted-by":"publisher","first-page":"6939","DOI":"10.1016\/j.jfranklin.2022.06.043","volume":"359","author":"P He","year":"2022","unstructured":"He, P., Wen, J., Stojanovic, V., Liu, F., & Luan, X. (2022). Finite-time control of discrete-time semi-Markov jump linear systems: A self-triggered MPC approach. Journal of the Franklin Institute, 359(13), 6939\u20136957. https:\/\/doi.org\/10.1016\/j.jfranklin.2022.06.043","journal-title":"Journal of the Franklin Institute"},{"key":"2350_CR10","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1016\/j.cirp.2010.03.021","volume":"59","author":"T Holkup","year":"2010","unstructured":"Holkup, T., Cao, H., Kol\u00e1\u02c7r, P., Altintas, Y., & Zelen\u00fd, J. (2010). Thermo-mechanical model of spindles. CIRP Annals, 59, 365\u2013368. https:\/\/doi.org\/10.1016\/j.cirp.2010.03.021","journal-title":"CIRP Annals"},{"key":"2350_CR11","doi-asserted-by":"publisher","first-page":"2447","DOI":"10.18494\/SAM3794","volume":"34","author":"MC Hsieh","year":"2022","unstructured":"Hsieh, M. C., Maurya, S. N., Luo, W. J., Li, K. Y., Hao, L., & Bhuyar, P. (2022). Coolant volume prediction for spindle cooler with adaptiveneuro-fuzzy inference system control method. Sensors & Materials, 34, 2447\u20132466. https:\/\/doi.org\/10.18494\/SAM3794","journal-title":"Sensors & Materials"},{"key":"2350_CR12","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1016\/j.jmatprotec.2005.02.149","volume":"162","author":"J Jedrzejewski","year":"2005","unstructured":"Jedrzejewski, J., Kowal, Z., Kwasny, W., & Modrzycki, W. (2005). High-speed precise machine tools spindle units improving. Journal of Materials Processing Technology, 162, 615\u2013621. https:\/\/doi.org\/10.1016\/j.jmatprotec.2005.02.149","journal-title":"Journal of Materials Processing Technology"},{"key":"2350_CR13","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.ijmachtools.2006.03.007","volume":"47","author":"Y Kang","year":"2007","unstructured":"Kang, Y., Chang, C. W., Huang, Y., Hsu, C. L., & Nieh, I. F. (2007). Modification of a neural network utilizing hybrid filters for the compensation of thermal deformation in machine tools. International Journal of Machine Tools and Manufacture, 47, 376\u2013387. https:\/\/doi.org\/10.1016\/j.ijmachtools.2006.03.007","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"2350_CR14","first-page":"3","volume":"75","author":"S Kine","year":"1953","unstructured":"Kine, S., & McClintock, F. (1953). Describing uncertainties in single-sample experiments. Mechanical Engineering, 75, 3\u20138.","journal-title":"Mechanical Engineering"},{"key":"2350_CR15","doi-asserted-by":"publisher","first-page":"700","DOI":"10.3390\/ma15030700","volume":"15","author":"A Kosarac","year":"2022","unstructured":"Kosarac, A., Mladjenovic, C., Zeljkovic, M., Tabakovic, S., & Knezev, M. (2022). Neural-network-based approaches for optimization of machining parameters using small dataset. Materials, 15, 700. https:\/\/doi.org\/10.3390\/ma15030700","journal-title":"Materials"},{"key":"2350_CR16","doi-asserted-by":"publisher","first-page":"1497","DOI":"10.1007\/s00170-019-04375-w","volume":"105","author":"B Li","year":"2019","unstructured":"Li, B., Tian, X., & Zhang, M. (2019). Thermal error modeling of machine tool spindle based on the improved algorithm optimized BP neural network. The International Journal of Advanced Manufacturing Technology, 105, 1497\u20131505. https:\/\/doi.org\/10.1007\/s00170-019-04375-w","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR17","doi-asserted-by":"publisher","first-page":"4137","DOI":"10.18494\/SAM4152","volume":"34","author":"KY Li","year":"2022","unstructured":"Li, K. Y., Liao, M. C., & Maurya, S. N. (2022). Linear axial error signal measurement and processing method of a machine tool for accuracy compensation improvement. Sensors & Materials, 34, 4137. https:\/\/doi.org\/10.18494\/SAM4152","journal-title":"Sensors & Materials"},{"key":"2350_CR18","doi-asserted-by":"publisher","first-page":"28988","DOI":"10.1109\/ACCESS.2020.2972580","volume":"8","author":"KY Li","year":"2020","unstructured":"Li, K. Y., Luo, W. J., Hong, X. H., Wei, S. J., & Tsai, P. H. (2020). Enhancement of machining accuracy utilizing varied cooling oil volume for machine tool spindle. IEEE Access, 8, 28988\u201329003. https:\/\/doi.org\/10.1109\/ACCESS.2020.2972580","journal-title":"IEEE Access"},{"key":"2350_CR19","doi-asserted-by":"publisher","first-page":"420","DOI":"10.3390\/app7040420","volume":"7","author":"KY Li","year":"2017","unstructured":"Li, K. Y., Luo, W. J., Huang, J. Z., Chan, Y. C., & Faridah, D. (2017). Operational temperature effect on positioning accuracy of a single-axial moving carrier. Applied Sciences, 7, 420. https:\/\/doi.org\/10.3390\/app7040420","journal-title":"Applied Sciences"},{"issue":"11","key":"2350_CR20","doi-asserted-by":"publisher","first-page":"3991","DOI":"10.3390\/app10113991","volume":"10","author":"K-Y Li","year":"2020","unstructured":"Li, K.-Y., Luo, W.-J., & Wei, S.-J. (2020). Machining accuracy enhancement of a machine tool by a cooling channel design for a built-in spindle. Applied Sciences, 10(11), 3991. https:\/\/doi.org\/10.3390\/app10113991","journal-title":"Applied Sciences"},{"key":"2350_CR21","doi-asserted-by":"publisher","first-page":"887","DOI":"10.1017\/jmech.2019.29","volume":"35","author":"KY Li","year":"2019","unstructured":"Li, K. Y., Luo, W. J., Yang, M. H., Hong, X. H., Luo, S. J., & Chen, C. N. (2019). Effect of supply cooling oil temperature in structural cooling channels on the positioning accuracy of machine tools. Journal of Mechanics, 35, 887\u2013900. https:\/\/doi.org\/10.1017\/jmech.2019.29","journal-title":"Journal of Mechanics"},{"key":"2350_CR22","doi-asserted-by":"publisher","first-page":"3689","DOI":"10.18494\/SAM.2020.3104","volume":"32","author":"KY Li","year":"2020","unstructured":"Li, K. Y., Luo, W. J., Zeng, Y. R., & Huang, I. H. (2020). Increase in accuracy of a built-in spindle by adaptive cooling control with varied coolant volume and temperature. Sensors & Materials, 32, 3689\u20133706. https:\/\/doi.org\/10.18494\/SAM.2020.3104","journal-title":"Sensors & Materials"},{"key":"2350_CR23","doi-asserted-by":"publisher","first-page":"1807","DOI":"10.1007\/s00170-023-10988-z","volume":"126","author":"KY Li","year":"2023","unstructured":"Li, K. Y., Maurya, S. N., Lee, Y. H., Luo, W. J., Chen, C. N., & Wellid, I. (2023). Thermal deformation and economic analysis of a multiobject cooling system for spindles with varied coolant volume control. The International Journal of Advanced Manufacturing Technology, 126, 1807\u20131825. https:\/\/doi.org\/10.1007\/s00170-023-10988-z","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR24","doi-asserted-by":"publisher","first-page":"286","DOI":"10.3390\/machines9110286","volume":"9","author":"Z Li","year":"2021","unstructured":"Li, Z., Zhu, B., Dai, Y., Zhu, W., Wang, Q., & Wang, B. (2021). Research on thermal error modeling of motorized spindle based on BP neural network optimized by beetle antennae search algorithm. Machines, 9, 286. https:\/\/doi.org\/10.3390\/machines9110286","journal-title":"Machines"},{"key":"2350_CR25","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1007\/s00170-022-09260-7","volume":"121","author":"Z Li","year":"2022","unstructured":"Li, Z., Zhu, B., Dai, Y., Zhu, W., Wang, Q., & Wang, B. (2022). Thermal error modeling of motorized spindle based on Elman neural network optimized by sparrow search algorithm. The International Journal of Advanced Manufacturing Technology, 121, 349\u2013366. https:\/\/doi.org\/10.1007\/s00170-022-09260-7","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR26","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MASSP.1987.1165576","volume":"4","author":"R Lippmann","year":"1987","unstructured":"Lippmann, R. (1987). An introduction to computing with neural nets. IEEE ASSP Magazine, 4, 4\u201322. https:\/\/doi.org\/10.1109\/MASSP.1987.1165576","journal-title":"IEEE ASSP Magazine"},{"key":"2350_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2019.106027","volume":"125","author":"B Liu","year":"2020","unstructured":"Liu, B., Jin, W., Lu, A., Liu, K., Wang, C., & Mi, G. (2020). Optimal design for dual laser beam butt welding process parameter using artificial neural networks and genetic algorithm for SUS316L austenitic stainless steel. Optics & Laser Technology, 125, 106027. https:\/\/doi.org\/10.1016\/j.optlastec.2019.106027","journal-title":"Optics & Laser Technology"},{"key":"2350_CR28","doi-asserted-by":"publisher","first-page":"122","DOI":"10.3390\/pr11010122","volume":"11","author":"YL Liu","year":"2023","unstructured":"Liu, Y. L., Nisa, E. C., Kuan, Y. D., Luo, W. J., & Feng, C. C. (2023). Combining deep neural network with genetic algorithm for axial flow fan design and development. Processes, 11, 122. https:\/\/doi.org\/10.3390\/pr11010122","journal-title":"Processes"},{"key":"2350_CR29","doi-asserted-by":"publisher","first-page":"1913","DOI":"10.1007\/s00170-014-6350-1","volume":"76","author":"Z Liu","year":"2015","unstructured":"Liu, Z., Pan, M., Zhang, A., Zhao, Y., Yang, Y., & Ma, C. (2015). Thermal characteristic analysis of high-speed motorized spindle system based on thermal contact resistance and thermal-conduction resistance. The International Journal of Advanced Manufacturing Technology, 76, 1913\u20131926. https:\/\/doi.org\/10.1007\/s00170-014-6350-1","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR30","doi-asserted-by":"publisher","first-page":"656","DOI":"10.3390\/s18020656","volume":"18","author":"YC Lo","year":"2018","unstructured":"Lo, Y. C., Hu, Y. C., & Chang, P. Z. (2018). Parameter estimation of the thermal network model of a machine tool spindle by self-made bluetooth temperature sensor module. Sensors, 18, 656. https:\/\/doi.org\/10.3390\/s18020656","journal-title":"Sensors"},{"issue":"22","key":"2350_CR31","doi-asserted-by":"publisher","first-page":"8272","DOI":"10.3390\/app10228272","volume":"10","author":"W-J Luo","year":"2020","unstructured":"Luo, W.-J., Chen, K.-S., Chun-Min, Y., & Hsu, T.-H. (2020). The fuzzy process quality evaluation model for the stb quality characteristic of machining. Applied Sciences, 10(22), 8272. https:\/\/doi.org\/10.3390\/app10228272","journal-title":"Applied Sciences"},{"key":"2350_CR32","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.3788\/OPE.20152306.1705","volume":"23","author":"C Lv","year":"2015","unstructured":"Lv, C., Liu, Z. Y., Liu, Z. J., & Yu, Z. M. (2015). Application of generalized radial basis function neural network to thermal error modeling. Optics and Precision Engineering, 23, 1705\u20131713. https:\/\/doi.org\/10.3788\/OPE.20152306.1705","journal-title":"Optics and Precision Engineering"},{"issue":"12","key":"2350_CR33","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.3390\/machines10121201","volume":"10","author":"SN Maurya","year":"2022","unstructured":"Maurya, S. N., Li, K. Y., Luo, W. J., & Kao, S. Y. (2022). Effect of coolant temperature on the thermal compensation of a machine tool. Machines, 10(12), 1201. https:\/\/doi.org\/10.3390\/machines10121201","journal-title":"Machines"},{"key":"2350_CR34","doi-asserted-by":"publisher","first-page":"771","DOI":"10.1016\/j.cirp.2012.05.008","volume":"61","author":"J Mayr","year":"2012","unstructured":"Mayr, J., Jedrzejewski, J., Uhlmann, E., AlkanDonmez, M., Knapp, W., H\u00e4rtig, F., Wendt, K., Moriwaki, T., Shore, P., Schmitt, R., Brecher, C., Wurz, T., & Wegener, K. (2012). Thermal issues in machine tools. CIRP Annals-Manufacturing Technology, 61, 771\u2013791. https:\/\/doi.org\/10.1016\/j.cirp.2012.05.008","journal-title":"CIRP Annals-Manufacturing Technology"},{"key":"2350_CR35","unstructured":"Mayr, J., Sascha, W., & Konrad W. (2007). Comparing the thermo-machanical-behavior of machine tool frame designs using a FDM-FEA simulation approach. In: Proceedings of: the twenty-second annual meeting. American Society for Precision Engineering, (pp. 17\u201320). http:\/\/hdl.handle.net\/20.500.11850\/4983"},{"key":"2350_CR36","doi-asserted-by":"publisher","first-page":"1257","DOI":"10.1016\/S0890-6955(00)00010-9","volume":"40","author":"R Ramesh","year":"2000","unstructured":"Ramesh, R., Mannan, M. A., & Poo, A. N. (2000). Error compensation in machine tools\u2014A review: Part II: Thermal errors. International Journal of Machine Tools and Manufacture, 40, 1257\u20131284. https:\/\/doi.org\/10.1016\/S0890-6955(00)00010-9","journal-title":"International Journal of Machine Tools and Manufacture"},{"key":"2350_CR37","doi-asserted-by":"publisher","DOI":"10.3934\/mmc.2023016","author":"V Stojanovi\u0107","year":"2023","unstructured":"Stojanovi\u0107, V. (2023). Fault-tolerant control of a hydraulic servo actuator via adaptive dynamic programming. Mathematical Modelling and Control. https:\/\/doi.org\/10.3934\/mmc.2023016","journal-title":"Mathematical Modelling and Control"},{"key":"2350_CR38","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1016\/j.procir.2012.04.056","volume":"1","author":"E Uhlmann","year":"2012","unstructured":"Uhlmann, E., & Hu, J. (2012). Thermal modelling of a high speed motor spindle. Procedia CIRP, 1, 313\u2013318. https:\/\/doi.org\/10.1016\/j.procir.2012.04.056","journal-title":"Procedia CIRP"},{"key":"2350_CR39","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.precisioneng.2022.05.008","volume":"77","author":"X Wei","year":"2022","unstructured":"Wei, X., Ye, H., Miao, E., & Pan, Q. (2022). Thermal error modeling and compensation based on Gaussian process regression for CNC machine tools. Precision Engineering, 77, 65\u201376. https:\/\/doi.org\/10.1016\/j.precisioneng.2022.05.008","journal-title":"Precision Engineering"},{"key":"2350_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ijthermalsci.2015.12.007","volume":"104","author":"K Yan","year":"2016","unstructured":"Yan, K., Hong, J., Zhang, J., Mi, W., & Wu, W. (2016). Thermal-deformation coupling in thermal network for transient analysis of spindle-bearing system. International Journal of Thermal Sciences, 104, 1\u201312. https:\/\/doi.org\/10.1016\/j.ijthermalsci.2015.12.007","journal-title":"International Journal of Thermal Sciences"},{"key":"2350_CR41","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s00170-021-06611-8","volume":"113","author":"Y Yang","year":"2021","unstructured":"Yang, Y., Du, Z., Feng, X., & Yang, J. (2021). Real-time thermal modeling approach of a machine tool spindle based on bond graph method. The International Journal of Advanced Manufacturing Technology, 113, 99\u2013115. https:\/\/doi.org\/10.1007\/s00170-021-06611-8","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR42","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1007\/s00170-010-2961-3","volume":"54","author":"Z Yang","year":"2011","unstructured":"Yang, Z., Sun, M., Li, W., & Liang, W. (2011). Modified Elman network for thermal deformation compensation modeling in machine tools. The International Journal of Advanced Manufacturing Technology, 54, 669\u2013676. https:\/\/doi.org\/10.1007\/s00170-010-2961-3","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"issue":"8","key":"2350_CR43","doi-asserted-by":"publisher","first-page":"624","DOI":"10.3390\/machines10080624","volume":"10","author":"H Ye","year":"2022","unstructured":"Ye, H., Wei, X., Zhuang, X., & Miao, E. (2022). An improved robust thermal error prediction approach for CNC machine tools. Machines, 10(8), 624. https:\/\/doi.org\/10.3390\/machines10080624","journal-title":"Machines"},{"issue":"5","key":"2350_CR44","doi-asserted-by":"publisher","first-page":"056326","DOI":"10.1103\/physreve.83.056326","volume":"83","author":"H-C Yeh","year":"2011","unstructured":"Yeh, H.-C., Yang, R.-J., & Luo, W.-J. (2011). Analysis of traveling-wave electro-osmotic pumping with double-sided electrode arrays. Physical Review E, 83(5), 056326. https:\/\/doi.org\/10.1103\/physreve.83.056326","journal-title":"Physical Review E"},{"issue":"12","key":"2350_CR45","doi-asserted-by":"publisher","first-page":"2129","DOI":"10.3390\/math8122129","volume":"8","author":"C-M Yu","year":"2020","unstructured":"Yu, C.-M., Luo, W.-J., Hsu, T.-H., & Lai, K.-K. (2020). Two-tailed fuzzy hypothesis testing for unilateral specification process quality index. Mathematics, 8(12), 2129. https:\/\/doi.org\/10.3390\/math8122129","journal-title":"Mathematics"},{"issue":"2","key":"2350_CR46","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1016\/j.jfranklin.2022.11.037","volume":"360","author":"Q Zhang","year":"2023","unstructured":"Zhang, Q., Song, X., Song, S., & Stojanovic, V. (2023). Finite-time sliding mode control for singularly perturbed PDE systems. Journal of the Franklin Institute, 360(2), 841\u2013861. https:\/\/doi.org\/10.1016\/j.jfranklin.2022.11.037","journal-title":"Journal of the Franklin Institute"},{"key":"2350_CR47","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1007\/s00170-011-3564-3","volume":"59","author":"Y Zhang","year":"2012","unstructured":"Zhang, Y., Yang, J., & Jiang, H. (2012). Machine tool thermal error modeling and prediction by grey neural network. The International Journal of Advanced Manufacturing Technology, 59, 1065\u20131072. https:\/\/doi.org\/10.1007\/s00170-011-3564-3","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR48","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/s00170-021-07221-0","volume":"115","author":"C Zhou","year":"2021","unstructured":"Zhou, C., Qu, Z., Hu, B., & Li, S. (2021). Thermal network model and experimental validation for a motorized spindle including thermal-mechanical coupling effect. The International Journal of Advanced Manufacturing Technology, 115, 487\u2013501. https:\/\/doi.org\/10.1007\/s00170-021-07221-0","journal-title":"The International Journal of Advanced Manufacturing Technology"},{"key":"2350_CR49","doi-asserted-by":"publisher","DOI":"10.1016\/j.csite.2022.102551","volume":"40","author":"Z Zhou","year":"2022","unstructured":"Zhou, Z., Dai, Y., Wang, G., Li, S., Pang, J., & Zhan, S. (2022). Thermal displacement prediction model of SVR high-speed motorized spindle based on SA-PSO optimization. Case Studies in Thermal Engineering, 40, 102551. https:\/\/doi.org\/10.1016\/j.csite.2022.102551","journal-title":"Case Studies in Thermal Engineering"},{"issue":"4","key":"2350_CR50","doi-asserted-by":"publisher","first-page":"2013","DOI":"10.1007\/s10845-021-01894-w","volume":"34","author":"M Zhu","year":"2023","unstructured":"Zhu, M., Yang, Y., Feng, X., Zhengchun, D., & Yang, J. (2023). Robust modeling method for thermal error of CNC machine tools based on random forest algorithm. Journal of Intelligent Manufacturing, 34(4), 2013\u20132026. https:\/\/doi.org\/10.1007\/s10845-021-01894-w","journal-title":"Journal of Intelligent Manufacturing"},{"key":"2350_CR51","doi-asserted-by":"publisher","first-page":"1071","DOI":"10.1007\/s00170-014-6519-7","volume":"77","author":"A Zivkovic","year":"2015","unstructured":"Zivkovic, A., Zeljkovic, M., Tabakovic, S., & Milojevic, Z. (2015). Mathematical modeling and experimental testing of high-speed spindle behavior. The International Journal of Advanced Manufacturing Technology, 77, 1071\u20131086. https:\/\/doi.org\/10.1007\/s00170-014-6519-7","journal-title":"The International Journal of Advanced Manufacturing Technology"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-024-02350-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10845-024-02350-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-024-02350-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T20:19:59Z","timestamp":1744316399000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10845-024-02350-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4,1]]},"references-count":51,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["2350"],"URL":"https:\/\/doi.org\/10.1007\/s10845-024-02350-1","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4,1]]},"assertion":[{"value":"31 August 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 February 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 April 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}