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Materials and Manufacturing Processes Volume 35, 2020 - Issue 4
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Articles

Investigation of the effect of process parameters on surface roughness in drilling of particleboard composite panels using adaptive neuro fuzzy inference system

T.N. ValarmathiSchool of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai, IndiaORCID Iconhttps://orcid.org/0000-0003-3381-8039
ORCID Icon,
K. PalanikumarDepartment of Mechanical Engineering, Sri Sai Ram Institute of Technology, Chennai, IndiaORCID Iconhttps://orcid.org/0000-0003-1883-5105
ORCID Icon,
S. SekarDepartment of Mechanical Engineering, Rajalakshmi Engineering College, Chennai, India
&
B. LathaDepartment of Computer Science and Engineering, Sri Sairam Engineering College, Chennai, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-8813-6679
ORCID Icon
Pages 469-477 | Received 25 Apr 2019, Accepted 02 Jan 2020, Published online: 10 Jan 2020

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Burak Ozdemir, Erol Kilickap, Erkan Bahce, Ahmet Yardimeden & Ender Emir. (2024) Optimization of parameters for drilling composite materials with freeform surfaces. Materials and Manufacturing Processes 39:1, pages 55-68.
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Yingyue Yu, Feng Zhang, Dietrich Buck, Meiqi Song, Xiaolei Guo, Jinxing Wang, Zhanwen Wu & Zhaolong Zhu. (2023) Neuro-fuzzy assessment of machined wood fibre–reinforced magnesium oxide composite. Wood Material Science & Engineering 18:3, pages 1151-1159.
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Majid Shafaie, Farid R. Biglari, Mehrdad Keneshlou & Amir R. Gharib. (2023) Blank shape optimization in sheet metal processing using a hybrid fuzzy-sensitivity method. International Journal of Computer Integrated Manufacturing 36:4, pages 511-523.
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N. Tamiloli, J. Venkatesan & T. SampathKumar. (2022) ANFIS based forecast and parametric investigation during processing activity of AA6082T6. Materials and Manufacturing Processes 37:1, pages 99-112.
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D. Rajamani, M. Siva Kumar, E. Balasubramanian & A. Tamilarasan. (2021) Nd: YAG laser cutting of Hastelloy C276: ANFIS modeling and optimization through WOA. Materials and Manufacturing Processes 36:15, pages 1746-1760.
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Articles from other publishers (9)

Bogdan Bedelean, Mihai Ispas & Sergiu Răcășan. (2023) Applying the Artificial Neural Network and Response Surface Methodology to Optimize the Drilling Process of Plywood. Applied Sciences 13:20, pages 11343.
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Aslan Akdulum & Yunus Kayir. (2023) Modeling and estimation of thrust force, torque, and surface roughness in indexable drilling of AA6061-T651 with Taguchi, ANN, and ANFIS. Sādhanā 48:3.
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A. Megalingam, A. H. Ahmad, N. A. Alang, J. Alias & N. A. Abd Razak. (2022) Application of Response Surface Methodology for Parameter Optimization of Aluminum 7075 Thixoforming Feedstock Billet Production. Journal of Materials Engineering and Performance.
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Sangeetha Elango, Kaviarasan Varadaraju, Elango Natarajan, Ezra Morris Abraham Gnanamuthu, R. Durairaj & P. Mariappan. (2022) PTFE in Wet and Dry Drilling: Two-Tier Modeling and Optimization through ANFIS. Mathematical Problems in Engineering 2022, pages 1-10.
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Weixing Zhang & Chunxia He. (2022) Modeling and Optimization of the Shear Strength of Cassava Starch-Based Adhesives Using Artificial Intelligence Methods. Journal of Renewable Materials 10:12, pages 3263-3283.
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K. Karthik, V. Ramesh, S. Kolappan, K. Arunkumar, J. Udayaprakash & R. Rameshkumar. (2022) Experimental investigation on hybrid fibre reinforced polymer epoxy LY556 composites by vacuum bag molding. Materials Today: Proceedings 62, pages 714-720.
Crossref
K. Karthik, C. Rathinasuriyan, T. Raja & R. Sankar. 2022. Bio-Fiber Reinforced Composite Materials. Bio-Fiber Reinforced Composite Materials 175 187 .
Anisah Sajidah Saud, Gaanty Pragas Maniam & Mohd Hasbi Ab. Rahim. 2021. Eco-Friendly Adhesives for Wood and Natural Fiber Composites. Eco-Friendly Adhesives for Wood and Natural Fiber Composites 1 28 .
T. N. Valarmathi, K. Palanikumar, S. Sekar & B. Latha. 2021. Futuristic Trends in Intelligent Manufacturing. Futuristic Trends in Intelligent Manufacturing 129 144 .

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