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Erschienen in: Neural Computing and Applications 11/2018

28.10.2016 | Original Article

An evolutionary framework in modelling of multi-output characteristics of the bone drilling process

verfasst von: Akhil Garg, K. Shankhwar, Dazhi Jiang, V. Vijayaraghavan, B. N. Panda, Sudhansu Sekhar Panda

Erschienen in: Neural Computing and Applications | Ausgabe 11/2018

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Abstract

For the improvement of economic and environmental performance of bone drilling operations, the optimum value of the spindle speed and feed rate must be known. This is because the input spindle speed is an important factor of energy consumption and with its approximate value known in optimization of output characteristics of bone drilling operations may result in significant energy savings. Optimization of multi-output characteristics of the bone drilling process is possible, if the relationships between the outputs and the inputs are known. Therefore, this study forms the strong basis for development of the models for the three output characteristics (maximum temperature, maximum force and maximum average surface roughness) for the bone drilling operation performed on the bovine bone. Experimental studies are conducted to measure these three outputs based on the spindle speed and feed rate. The validation of the formulated models is done based on the root-mean-square error, coefficient of determination, relative error, multi-objective error and mean absolute percentage error. The relationships between the three outputs and the inputs are further revealed by the 2-D analysis on the models. The findings from these relationships can be used for the predictive monitoring the bone drilling operation. The work concludes with discussion of environmental implications arising from the current study.

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Literatur
1.
Zurück zum Zitat Kuram E, Ozcelik B, Bayramoglu M, Demirbas E, Simsek BT (2013) Optimization of cutting fluids and cutting parameters during end milling by using D-optimal design of experiments. J Clean Prod 42:159–166CrossRef Kuram E, Ozcelik B, Bayramoglu M, Demirbas E, Simsek BT (2013) Optimization of cutting fluids and cutting parameters during end milling by using D-optimal design of experiments. J Clean Prod 42:159–166CrossRef
2.
Zurück zum Zitat Garg A, Bhalerao Y, Tai K (2013) Review of empirical modelling techniques for modelling of turning process. Int J Model Identif Control 20:121–129CrossRef Garg A, Bhalerao Y, Tai K (2013) Review of empirical modelling techniques for modelling of turning process. Int J Model Identif Control 20:121–129CrossRef
3.
Zurück zum Zitat Garg A, Tai K (2012) Review of genetic programming in modeling of machining processes. Modelling, identification & control (Icmic). In: 2012 Proceedings of international conference on Ieee. pp 653–658 Garg A, Tai K (2012) Review of genetic programming in modeling of machining processes. Modelling, identification & control (Icmic). In: 2012 Proceedings of international conference on Ieee. pp 653–658
4.
Zurück zum Zitat Mukherjee I, Ray PK (2006) A Review of optimization techniques in metal cutting processes. Comput Ind Eng 50:15–34CrossRef Mukherjee I, Ray PK (2006) A Review of optimization techniques in metal cutting processes. Comput Ind Eng 50:15–34CrossRef
5.
Zurück zum Zitat Chandrasekaran M, Muralidhar M, Krishna CM, Dixit U (2010) Application of soft computing techniques in machining performance prediction and optimization: a literature review. Int J Adv Manuf Technol 46:445–464CrossRef Chandrasekaran M, Muralidhar M, Krishna CM, Dixit U (2010) Application of soft computing techniques in machining performance prediction and optimization: a literature review. Int J Adv Manuf Technol 46:445–464CrossRef
6.
Zurück zum Zitat Udiljak T, Ciglar D, Skoric S (2007) Investigation into bone drilling and thermal bone necrosis. Adv Prod Eng Manag 2:103–112 Udiljak T, Ciglar D, Skoric S (2007) Investigation into bone drilling and thermal bone necrosis. Adv Prod Eng Manag 2:103–112
7.
Zurück zum Zitat Hillery MT, Shuaib I (1999) Temperature effects in drilling of human and bovine bone. J Mater Process Technol 92–93:302–308CrossRef Hillery MT, Shuaib I (1999) Temperature effects in drilling of human and bovine bone. J Mater Process Technol 92–93:302–308CrossRef
8.
Zurück zum Zitat Lee J, Ozdoganlar OB, Rabin Y (2012) An experimental investigation on thermal exposure during bone drilling. Med Eng Phys 34(10):1510–1520CrossRef Lee J, Ozdoganlar OB, Rabin Y (2012) An experimental investigation on thermal exposure during bone drilling. Med Eng Phys 34(10):1510–1520CrossRef
9.
Zurück zum Zitat Karaca F, Aksakal B, Kom M (2011) Influence of orthopaedic drilling parameters on temperature and histopathology of bovine tibia: an in vitro study. Med Eng Phys 33(10):221–227CrossRef Karaca F, Aksakal B, Kom M (2011) Influence of orthopaedic drilling parameters on temperature and histopathology of bovine tibia: an in vitro study. Med Eng Phys 33(10):221–227CrossRef
10.
Zurück zum Zitat Augustin G, Davila S, Mihoci K, Udiljak T, Vedrina DS, Antabak A (2008) Thermal osteonecrosis and bone drilling parameters revisited. Arch Orthop Trauma Surg 128:71–77CrossRef Augustin G, Davila S, Mihoci K, Udiljak T, Vedrina DS, Antabak A (2008) Thermal osteonecrosis and bone drilling parameters revisited. Arch Orthop Trauma Surg 128:71–77CrossRef
11.
Zurück zum Zitat Lundskog J (1972) Heat and bone tissue, scand. J Plast Reconstr Surg Suppl 9:1–80 Lundskog J (1972) Heat and bone tissue, scand. J Plast Reconstr Surg Suppl 9:1–80
13.
Zurück zum Zitat Pandey RK, Panda SS (2013) Optimization of bone drilling using Taguchi methodology coupled with fuzzy based desirability function approach. J Intell Manuf. doi:10.1007/s10845-013-0844-9 Pandey RK, Panda SS (2013) Optimization of bone drilling using Taguchi methodology coupled with fuzzy based desirability function approach. J Intell Manuf. doi:10.​1007/​s10845-013-0844-9
14.
Zurück zum Zitat Pandey RK, Panda SS (2014) Optimization of bone drilling parameters using grey-based fuzzy algorithm. Measurement 47:386–392CrossRef Pandey RK, Panda SS (2014) Optimization of bone drilling parameters using grey-based fuzzy algorithm. Measurement 47:386–392CrossRef
15.
Zurück zum Zitat Pandey RK, Panda SS (2014) A feasibility investigation for modeling and optimization of temperature in bone drilling using fuzzy logic and Taguchi optimization methodology. Proc Inst Mech Eng H J Eng Med 228:1135–1145CrossRef Pandey RK, Panda SS (2014) A feasibility investigation for modeling and optimization of temperature in bone drilling using fuzzy logic and Taguchi optimization methodology. Proc Inst Mech Eng H J Eng Med 228:1135–1145CrossRef
16.
Zurück zum Zitat Pandey RK, Panda SS (2015) Multi-performance optimization of bone drilling using Taguchi method based on membership function. Measurement 59:9–13CrossRef Pandey RK, Panda SS (2015) Multi-performance optimization of bone drilling using Taguchi method based on membership function. Measurement 59:9–13CrossRef
17.
Zurück zum Zitat Bhushan RK (2013) Optimization of cutting parameters for minimizing energy consumption and maximizing tool life during machining of al alloy sic particle composites. J Clean Prod 39:242–254CrossRef Bhushan RK (2013) Optimization of cutting parameters for minimizing energy consumption and maximizing tool life during machining of al alloy sic particle composites. J Clean Prod 39:242–254CrossRef
18.
Zurück zum Zitat Kant G, Sangwan KS (2014) Prediction and optimization of machining parameters for minimizing energy consumption and surface roughness in machining. J Clean Prod 83:151–164CrossRef Kant G, Sangwan KS (2014) Prediction and optimization of machining parameters for minimizing energy consumption and surface roughness in machining. J Clean Prod 83:151–164CrossRef
19.
Zurück zum Zitat Alam K, Mitrofanov AV, Silberschmidt VV (2009) Measurements of surface roughness in conventional and ultrasonically assisted bone drilling. Am J Biomed Sci 1(4):312–320CrossRef Alam K, Mitrofanov AV, Silberschmidt VV (2009) Measurements of surface roughness in conventional and ultrasonically assisted bone drilling. Am J Biomed Sci 1(4):312–320CrossRef
20.
Zurück zum Zitat Panda BN, Garg A, Shankhwar K (2016) Empirical investigation of environmental characteristic of 3-D additive manufacturing process based on slice thickness and part orientation. Measurement 86:293–300CrossRef Panda BN, Garg A, Shankhwar K (2016) Empirical investigation of environmental characteristic of 3-D additive manufacturing process based on slice thickness and part orientation. Measurement 86:293–300CrossRef
21.
Zurück zum Zitat Garg A, Panda B, Shankhwar K (2016) Investigation of the joint length of weldment of environmental-friendly magnetic pulse welding process. Int J Adv Manuf Technol. doi:10.1007/s00170-016-8634-0 Garg A, Panda B, Shankhwar K (2016) Investigation of the joint length of weldment of environmental-friendly magnetic pulse welding process. Int J Adv Manuf Technol. doi:10.​1007/​s00170-016-8634-0
22.
Zurück zum Zitat Panda BN, Bahubalendruni MR, Biswal BB (2014) Comparative evaluation of optimization algorithms at training of genetic programming for tensile strength prediction of FDM processed part. Procedia Materials Science 5:2250–2257CrossRef Panda BN, Bahubalendruni MR, Biswal BB (2014) Comparative evaluation of optimization algorithms at training of genetic programming for tensile strength prediction of FDM processed part. Procedia Materials Science 5:2250–2257CrossRef
23.
Zurück zum Zitat Koza JR (1994) Genetic programming as a means for programming computers by natural selection. Stat Comput 4(2):87–112CrossRef Koza JR (1994) Genetic programming as a means for programming computers by natural selection. Stat Comput 4(2):87–112CrossRef
24.
Zurück zum Zitat Garg A, Lam JSL, Gao L (2015) Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach. J Clean Prod 108:34–45CrossRef Garg A, Lam JSL, Gao L (2015) Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach. J Clean Prod 108:34–45CrossRef
25.
Zurück zum Zitat Panda B, Garg A, Jian Z, Heidarzadeh A, Gao L (2016) Characterization of the tensile properties of friction stir welded aluminum alloy joints based on axial force, traverse speed, and rotational speed. Front Mech Eng. doi:10.1007/s11465-016-0393 Panda B, Garg A, Jian Z, Heidarzadeh A, Gao L (2016) Characterization of the tensile properties of friction stir welded aluminum alloy joints based on axial force, traverse speed, and rotational speed. Front Mech Eng. doi:10.​1007/​s11465-016-0393
26.
Zurück zum Zitat Garg A, Panda BN, Zhao DY, Tai K (2016) Framework based on number of basis functions complexity measure in investigation of the power characteristics of direct methanol fuel cell. Chemometr Intell Lab Syst 155:7–18CrossRef Garg A, Panda BN, Zhao DY, Tai K (2016) Framework based on number of basis functions complexity measure in investigation of the power characteristics of direct methanol fuel cell. Chemometr Intell Lab Syst 155:7–18CrossRef
Metadaten
Titel
An evolutionary framework in modelling of multi-output characteristics of the bone drilling process
verfasst von
Akhil Garg
K. Shankhwar
Dazhi Jiang
V. Vijayaraghavan
B. N. Panda
Sudhansu Sekhar Panda
Publikationsdatum
28.10.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 11/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2632-x

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