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

Abstract

Bone drillingGrey relational analysis (GRA) Analysis of variance (ANOVA) a b s t r a c t 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.

Pullout strength of K-wires: optimal solutions analysis

“…Sawbones were preferred to real human cancellous bone to avoid variability. To perform this study, a statistical design of experiments (SDOE) was used to optimize multiple performance characteristics on K-wires fixation (Pandey and Panda 2015;Singh et al 2016).…”

Modelling and optimisation of temperature and force behaviour in high-speed bone drilling

“…Depending on the temperature exposure time, the probability of necrosis increases, and when the temperature is as high as 70 C, thermal necrosis occurs immediately [5]. Also, excessive thrust force of drilling causes micro cracks in the bone, which extends the bone recovery time [6]. In other words, thrust force is directly related to temperature increase in cortical bone during surgery.…”

“…In addition, Augustin et al [23] studying pig bone, found that a higher tool diameter increases the contact between the bone and drill, and causes high friction between the drill and bone and consequently increases the temperature of the process. Pandey and Panda [6,24,25] used Taguchi approach and computed the optimal process force and temperature as a function of feed rate and rotational speed, but did not consider the interaction between the parameters. Furthermore, Boyadjiev et al [26,27] designed an experimental setup and identified that automatic bone drilling can solve the high-temperature problem which arises during manual drilling.…”

Optimization of bone drilling parameters using Taguchi method based on finite element analysis

“…In orthopaedics surgery, bone drilling is widely known to create hole for insertion of screw [1]. Before the insertion of screw, drilling then tapping are conducted [2].…”