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Rao, C. S. P.
- A Design of Experimental Approach to Determine the Effect of Process Parameters on Strength of SLS Parts
Abstract Views :186 |
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Authors
Affiliations
1 Dept. of Mechanical Engg., National Institute of Technology, Warangal, IN
2 Dept. of Mechanical Engg., University College of Engg., Osmania University, Hyderabad, IN
1 Dept. of Mechanical Engg., National Institute of Technology, Warangal, IN
2 Dept. of Mechanical Engg., University College of Engg., Osmania University, Hyderabad, IN
Source
Manufacturing Technology Today, Vol 6, No 2 (2007), Pagination: 20-24Abstract
Rapid prototyping (RP) technique has come to stay as one of the promising techniques for cutting down product development time by way of realizing a touch and feel prototype or a prototypecomponent that can be directly used in assemblies, product testing, or tooling for short or medium run production. Selective Laser Sintering (SLS) is a leading process for developing rapid prototype objects by selectively fusing layers of powder according to numerically defined cross sectional geometry. The parts produced by SLS have lower strength than the parts produced by conventional techniques like injection moulding. The part strength is affected by the various process parameters used in SLS process. Three parameters, namely, laser power, scan spacing and part orientation were identified and the range of the parameters for the present investigation. In the present work an attempt has been made to study the affect of these parameters on part strength. Taguchi method of experimental design is used to plan the experiments. The experiments were conducted by using DuraForm PA (polyamide) powder on a DTM Sinter station 2500plus SLS rapid prototyping machine. The experimental results are summarized by using the analysis of variance (ANOVA) method where significant main factors and their interactions are identified. The relationship plots between the part strength and process parameters are obtained by using MATLAB 6.0 software. This paper gives the results of the study and the conclusions drawn from it.- Performance Enhancement of Flow Shop Scheduling Using Data Mining
Abstract Views :166 |
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Authors
Affiliations
1 National Institute of Technology, Trichirappalli, IN
2 National Institute of Technology, Warangal, AP, IN
1 National Institute of Technology, Trichirappalli, IN
2 National Institute of Technology, Warangal, AP, IN
Source
Manufacturing Technology Today, Vol 6, No 8 (2007), Pagination: 17-23Abstract
Data Mining aims at discovering knowledge consisting of rules describing properties of data. In this paper, the optimized schedules for a flow shop scheduling problem are generated by the metaheuristic methods. The optimal schedules are used to generate the training set by identifying the predictor attributes affecting the schedules. The classifier model is generated based on decision tree induction by discretising the data in the training set based on chi2 algorithm. The classifier model is tested by applying for the new set of problems. The optimized schedule is generated by the classifier model is comparatively equal to that of the scheduling done by the metaheuristic methods. The sees tool is used for performing the data mining classification. Thus the rules generated by the Data Mining classifier allows the production managers to easily take decisions regarding the flow shop scheduling based on various objective functions and constraints.- form Errors Minimization in Fused Deposition Modeling Using Taguchi Technique
Abstract Views :174 |
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Authors
Affiliations
1 Department of Production Engineering, V.R Siddhartha Engineering College, Vijayawada - 520 007, IN
2 Department of Mechanical Engineering, National Institute of Technology, Warangal - 506 004, IN
3 Department of Mechanical Engineering, University College of Engineering, Osmania University, Hyderabad - 500 007, IN
4 Vellore Institute of Technology, Vellore - 632 014, IN
1 Department of Production Engineering, V.R Siddhartha Engineering College, Vijayawada - 520 007, IN
2 Department of Mechanical Engineering, National Institute of Technology, Warangal - 506 004, IN
3 Department of Mechanical Engineering, University College of Engineering, Osmania University, Hyderabad - 500 007, IN
4 Vellore Institute of Technology, Vellore - 632 014, IN