WEDM microdrilling of 316 L stainless steel orthopedic implant

Abstract

The development in manufacturing has insisted upon the fabrication of microdrilled holes on orthopedic implants, with finished side wall (devoid of cracks and burr), thin recast layer, low taper, and improved circularity at entry and exit of the hole. In this study, therefore, a multiobjective optimization of wire electric discharge machining microdrilling response characteristics is addressed in order to improve the hole quality characteristics and viability of implants. To improve the quality characteristics of the hole, a hybrid statistical analysis is developed based on grey relational analysis and coefficient of variation. It identifies the key process parameters that are responsible for improving the quality of the hole. The parametric study also reveals that wire feed rate and servo feed rate have a striking effect on the quality of the hole. An important implication of this study is that a thin recast layer, improved entry and exit circularity, adequate taper were observed under optimum drilling condition.

CFRP composite drilling through electrical discharge machining using aluminum as fixture plate

“…The steps involve during the multi-performance investigation of hole quality attributes through the GRA approach are discussed here. [24][25][26][27] Step 1: Standardization of quality characteristics through data preprocessing approach (see Table 4) to compare them, as the unit of measurement of all quality attributes are distinct from one another.…”

“…The biological neural network system’s concept is utilized for developing the ANN system. 26,27 Nodes, edges, and hidden layers are the essential components of an ANN model. The data (input–output) processing work is executed by the neurons.…”

Investigation of drilling properties of AA7075/Al2O3 functionally graded materials using gray relational analysis

“…21 GRA creates optimized response input parameters, which have different weights of evaluation. 22 Ranking of process parameters can also be accomplished by considering the effect of all response parameters. 23 In addition, the absence of complex formulas and calculations in GRA makes this technique easier and flexible.…”