Experimental Studies and Multi-Response Optimization of Cutting Forces, Vibrations and Groove Width Accuracy in Milling of Cortical Bone.
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| Title: | Experimental Studies and Multi-Response Optimization of Cutting Forces, Vibrations and Groove Width Accuracy in Milling of Cortical Bone. |
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| Authors: | Zhang, Q.1 (AUTHOR), Sivalingam, V.2,3 (AUTHOR) svkceg@gmail.com, Prasanth Balasubramanian, M.2 (AUTHOR), Liu, M.2 (AUTHOR), Sun, M.2 (AUTHOR), Qin, S.1 (AUTHOR) |
| Source: | Experimental Techniques. Apr2026, Vol. 50 Issue 2, p201-216. 16p. |
| Subjects: | Cutting force, Compact bone, Acoustic vibrations, Milling machinery, Operative surgery, Multi-objective optimization, Milling cutters |
| Abstract: | This study investigates and optimizes the pig hind leg bone milling process using a tungsten steel alloy ball head milling cutter to understand the effects of various cutting speeds (Vc) and feed rates (f) to analyze the cutting forces, bending moments, vibration signals and groove width accuracy. Experimental results indicated that cutting forces and bending moments increased with higher speeds and 'f ', due to the non-uniform anisotropic structure of the cortical bone. Vibration analysis also indicated that the tool vibration was significantly affected by 'Vc' and 'f ', highlighting the role of resonance frequency effects of the tool due to non-utilization of the coolant. Groove width analysis demonstrated that the viscoelastic property of the bone material could lead to deviations between set and actual groove widths, with higher 'Vc' and 'f ' improving accuracy, but excessive 'f ' led to debris accumulation. An SEM analysis of the tool was performed to understand the effects of the tool wear. MOORA, a multi-objective optimization, results indicated that experiment number 1 with Vc of 30 m/min, f of 0.10 mm/rev, n of 2400 r/min influences the performance parameters. Findings from the study emphasize the advancement of bone surgery techniques may reduce errors and enhance surgical outcomes and pave the way to the future of robotic-assisted and minimally invasive surgeries. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | This study investigates and optimizes the pig hind leg bone milling process using a tungsten steel alloy ball head milling cutter to understand the effects of various cutting speeds (Vc) and feed rates (f) to analyze the cutting forces, bending moments, vibration signals and groove width accuracy. Experimental results indicated that cutting forces and bending moments increased with higher speeds and 'f ', due to the non-uniform anisotropic structure of the cortical bone. Vibration analysis also indicated that the tool vibration was significantly affected by 'Vc' and 'f ', highlighting the role of resonance frequency effects of the tool due to non-utilization of the coolant. Groove width analysis demonstrated that the viscoelastic property of the bone material could lead to deviations between set and actual groove widths, with higher 'Vc' and 'f ' improving accuracy, but excessive 'f ' led to debris accumulation. An SEM analysis of the tool was performed to understand the effects of the tool wear. MOORA, a multi-objective optimization, results indicated that experiment number 1 with Vc of 30 m/min, f of 0.10 mm/rev, n of 2400 r/min influences the performance parameters. Findings from the study emphasize the advancement of bone surgery techniques may reduce errors and enhance surgical outcomes and pave the way to the future of robotic-assisted and minimally invasive surgeries. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 07328818 |
| DOI: | 10.1007/s40799-025-00810-8 |
