Optimization of multiple quality characteristics in bone drilling using grey relational analysis.

Purpose: Drilling of bone is common during bone fracture treatment to fix the fractured parts with screws wires or plates. Minimally invasive drilling of the bone has a great demand as it helps in better fixation and quick healing of the broken bones. The purpose of the present investigation is to d...

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Publicado en:Journal of Orthopaedics Vol. 12; no. 1; pp. 39 - 46
Autores principales: Pandey, Rupesh Kumar, Panda, Sudhansu Sekhar
Formato: equations & formulas pictorial protocol research tables/charts Journal Article
Publicado: Professor PK Surendran Memorial Education Foundation 2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2015
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      pub: Professor PK Surendran Memorial Education Foundation
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        10.1016/j.jor.2014.06.003
        117063564
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        atl: Optimization of multiple quality characteristics in bone drilling using grey relational analysis.
      aug:
        au:
          Pandey, Rupesh Kumar
          Panda, Sudhansu Sekhar
        affil: Department of Mechanical Engineering, Indian Institute of Technology Patna, Patna 800013, India
      sug:
        subj:
          Fracture Fixation Methods
          Quality Assurance
          Data Analysis, Statistical Methods
          Animal Studies
          Temperature
          Cattle
          Factorial Design
          Analysis of Variance
          Bone and Bones Injuries
      ab: Purpose: Drilling of bone is common during bone fracture treatment to fix the fractured parts with screws wires or plates. Minimally invasive drilling of the bone has a great demand as it helps in better fixation and quick healing of the broken bones. The purpose of the present investigation is to determine the optimum cutting condition for the minimization of the temperature, force and surface roughness simultaneously during bone drilling. Method: In this study, drilling experiments have been performed on bovine bone with different conditions of feed rate and drill rotational speed using full factorial design. Optimal level of the drilling parameters is determined by the grey relational grade (GRG) obtained from the GRA as the performance index of multiple quality characteristics. The effect of each drilling parameter on GRG is determined using analysis of variance (ANOVA) and the results obtained are validated by confirmation experiment. Results: Grey relational analysis showed that the investigation with feed rate of 40 mm/min and spindle speed of 500 rpm has the highest grey relational grade and is recommended setting for minimum temperature, force and surface roughness simultaneously during bone drilling. Feed rate has the highest contribution (59.49%) on the multiple performance characteristics followed by the spindle speed (37.69%) as obtained from ANOVA analysis. Conclusions: The use of grey relational analysis will simplify the complex process of optimization of the multi response characteristics in bone drilling by converting them into a single grey relational grade. The use of the above suggested methodology can greatly minimize the bone tissue injury during drilling.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        protocol
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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