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Original Articles

HOLE QUALITY IN DEEP HOLE DRILLING

Pages 147-164 | Published online: 15 Aug 2006

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (8)

Ganesh M & Arunkumar Natesan. (2022) Effect of cryogenic cooling in deep hole drilling process – a stride in the direction of green manufacturing. Materials and Manufacturing Processes 37:13, pages 1566-1577.
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N Arunkumar, A Thanikasalam, V Sankaranarayanan & E Senthilkumar. (2018) Parametric optimization of deep-hole drilling on AISI 1045 steel and online tool condition monitoring using an accelerometer. Materials and Manufacturing Processes 33:16, pages 1751-1764.
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S. Ravisubramanian & M. S. Shunmugam. (2018) Investigations into peck drilling process for large aspect ratio microholes in aluminum 6061-T6. Materials and Manufacturing Processes 33:9, pages 935-942.
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Nithin Tom Mathew & L. Vijayaraghavan. (2017) Transformation and thickening of chip during high throughput drilling. Materials and Manufacturing Processes 32:15, pages 1692-1699.
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Niharika Swain, Praveen Kumar, G. Srinivas, S. Ravishankar & Harish C. Barshilia. (2017) Mechanical micro-drilling of nimonic 80A superalloy using uncoated and TiAlN-coated micro-drills. Materials and Manufacturing Processes 32:13, pages 1537-1546.
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L.H. R. Machado, M.A. Câmara & A.M. Abrão. (2014) The Performance of Tungsten Carbide and High Speed Steel When Drilling Nickel–Copper. Materials and Manufacturing Processes 29:3, pages 379-385.
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Mohammad Yeakub Ali, Mohd Hosni Hamad & Ahmad Izwan Karim. (2009) Form Characterization of Microhole Produced by Microelectrical Discharge Drilling. Materials and Manufacturing Processes 24:6, pages 683-687.
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M. Alata & K. Demirli. (2004) Prediction Model for BTA Deep-Hole Machining using Fuzzy Clustering Approach: Experimental Study. Materials and Manufacturing Processes 19:6, pages 1103-1119.
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Articles from other publishers (18)

Arjun Nagaraj, Alper Uysal, Suhasini Gururaja & I.S. Jawahir. (2022) Analysis of surface integrity in drilling carbon fiber reinforced polymer composite material under various cooling/lubricating conditions. Journal of Manufacturing Processes 82, pages 124-137.
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Hyunmin Park, Joon Goo Kang, Jin Seok Kim, Eun Goo Kang, Seung-Kyum Choi, Jisoo Kim & Hyung Wook Park. (2022) Predictive modeling of microhole profile drilled using a focused electron beam with backing materials. International Journal of Thermal Sciences 177, pages 107584.
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Hamza A. Al-Tameemi, Thamir Al-Dulaimi, Michael Oluwatobiloba Awe, Shubham Sharma, Danil Yurievich Pimenov, Ugur Koklu & Khaled Giasin. (2021) Evaluation of Cutting-Tool Coating on the Surface Roughness and Hole Dimensional Tolerances during Drilling of Al6061-T651 Alloy. Materials 14:7, pages 1783.
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K. Giasin, J. Hawxwell, J. Sinke, H. Dhakal, U. Köklü & E. Brousseau. (2020) The effect of cutting tool coating on the form and dimensional errors of machined holes in GLARE® fibre metal laminates. The International Journal of Advanced Manufacturing Technology 107:5-6, pages 2817-2832.
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A. Pramanik, A. K. Basak, M. N. Islam, Y. Dong, Sujan Debnath & Jay J. Vora. 2020. Optimization of Manufacturing Processes. Optimization of Manufacturing Processes 65 90 .
Eneko Arrospide, Iñaki Bikandi, Igor Larrañaga, Xabier Cearsolo, Joseba Zubia & Gaizka Durana. (2019) Harnessing Deep-Hole Drilling to Fabricate Air-Structured Polymer Optical Fibres. Polymers 11:11, pages 1739.
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Azizah Mohamad, Azlan Mohd Zain, Noordin Mohd Yusof, Farhad Najarian, Razana Alwee & Haza Nuzly Abdull Hamed. (2019) Modeling and Optimization of Machining Parameters Using Regression and Cuckoo Search in Deep Hole Drilling Process. Applied Mechanics and Materials 892, pages 177-184.
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P. Prashanth & Somashekhar S. Hiremath. 2019. Advances in Manufacturing Technology. Advances in Manufacturing Technology 421 431 .
K. Kamdani, A.A. Hamsah, N.H. Rafai, M.Z. Rahim, C.K. Wong & Y.L. Chong. (2018) Study of Cutting Force and Surface Roughness on Drilling Stainless Steel 316L under Various Coolant Condition. Key Engineering Materials 791, pages 116-122.
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Tianqi Wang, Xin Liu, Zhanfeng Liu, Yanshu Liu, Yukun Zhang & Zhe Wang. (2018) ANSYS is Used on Drilling Inner Blind Hole on Deep Hole. Wireless Personal Communications 103:1, pages 1077-1088.
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Siamak Ghorbani, Alejandro Veliz Aguayo Crisostomo, Vladimir Aleksandrovich Rogov & Nikolay Ivanovich Polushin. (2018) Experimental and theoretical research on drilling epoxy granite using coated and uncoated carbide spiral drill bits. International Journal of Mechanical Sciences 135, pages 240-252.
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Azizah Mohamad, Azlan Mohd Zain, Nor Bahiah Hj. Ahmad, Noordin Mohd Yusof & Farhad Najarian. (2017) Roundness Error Study in Deep Hole Drilling of Cold Mold Steel 718. Indian Journal of Science and Technology 10:13, pages 1-5.
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Hussien Mahmoud Al-Wedyan & Mohammed T. Hayajneh. (2017) Prediction and controlling of roundness during the BTA deep hole drilling process: Experimental investigations and fuzzy modeling. Materials Testing 59:3, pages 284-289.
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Xueliang Zhou & Pingyu Jiang. (2014) Variation source identification for deep hole boring process of cutting-hard workpiece based on multi-source information fusion using evidence theory. Journal of Intelligent Manufacturing 28:2, pages 255-270.
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Azizah Mohamad, Azlan Mohd Zain, Noordin Mohd Yusof & Farhad Najarian. (2016) An experimental result of surface roughness machining performance in deep hole drilling. MATEC Web of Conferences 78, pages 01036.
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A. TASKESEN & K. KUTUKDE. (2013) Analysis and optimization of drilling parameters for tool wear and hole dimensional accuracy in B4C reinforced Al-alloy. Transactions of Nonferrous Metals Society of China 23:9, pages 2524-2536.
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Andres Bustillo & Maritza Correa. (2011) Using artificial intelligence to predict surface roughness in deep drilling of steel components. Journal of Intelligent Manufacturing 23:5, pages 1893-1902.
Crossref
Maciej Grzenda, Andres Bustillo & Pawel Zawistowski. (2010) A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling. Journal of Intelligent Manufacturing 23:5, pages 1733-1743.
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