Application of a Fuzzy Inference System for the Optimization of Material Removal Rate and Multiple Surface Roughness Characteristics in the Machining of GFRP Polyester Composites
Journal Title: Decision Making in Manufacturing and Services - Year 2013, Vol 7, Issue 1
Abstract
This paper presents a multi-objective extended optimization methodology applied in the machining of a randomly oriented GFRP rod. Design of Experiment (DOE) has been selected based on a L9 orthogonal array design with varying process control parameters like: spindle speed, feed rate and depth of cut. Multiple surface roughness parameters of the machined FRP product along with the Material Removal Rate (MRR) of the machining process have been optimized simultaneously. The Fuzzy Inference System (FIS) has been proposed for providing feasible means for the meaningful aggregation of multiple objective functions into an equivalent single performance index (MPCI). This Multi-Performance Characteristic Index (MPCI) has been optimized using the Taguchi method. The approach adapted here is capable of overcoming limitations/ assumptions of existing optimization methodologies available in the literature.
Authors and Affiliations
Siba Mahapatra, Ankita Singh, Saurav Datta
Keywords
Related Articles
- EP ID EP166053
- DOI 10.7494/dmms.2013.7.1.19
- Views 112
- Downloads 0
Risks and implications for decision making processes associated with existing design codes or their non-existence
Buckling phenomenon is a perplexing and unresolved issue in many safety critical structures, and it has been heavily regulated. The paper highlights the risks to decision making processes due to growing tendencies of eli...
A multi-criteria optimization approach to modeling negotiation process
The paper presents a multi-criteria optimization approach to modeling negotiation process. The negotiation process is modeled as a special multi-criteria problem. The method for finding solutions is the interactive selec...
Batch Scheduling of Deteriorating Products
In this paper we consider the problem of scheduling N jobs on a single machine, where the jobs are processed in batches and the processing time of each job is a simple linear increasing function depending on job’s waitin...
BPMN – A Logical Model and Property Analysis
Business Process Modeling Notation has become a powerful and widely accepted visual language for modeling business processes. Despite its expressive power and high usability, a weak point of BPMN is the lack of formal se...
Models and Tools for Improving Efficiency in Constraint Logic Programming
Constraint Satisfaction Problems typically exhibit strong combinatorial explosion. In this paper we present some models and techniques aimed at improving efficiency in Constraint Logic Programming. A hypergraph model of...