Techno Economic Review on Casting Design Steam Turbine Emergency Stop Valve (ESV) Housing
Journal: International Journal of Advanced Engineering Research and Science (Vol.5, No. 4)Publication Date: 2018-04-10
Authors : Khamda Herbandono Arifin Harry Purnama Agus Krisnowo;
Page : 165-169
Keywords : Design optimization; Casting simulation; Yield casting; Techno-economic.;
Abstract
The development of computer aided design (CAE) technology, especially casting simulation software (Magmasoft v5), can be utilized maximally as a tool to verify the design of castings that have been made to be able to meet the elements of QCD (quality, cost, delivery) and compete in the market. This study aims to obtain an optimal ESV housing casting design by reviewing and modifying the casting design in terms of both quality and economics. The process of design optimization with casting simulation is an important step in the design and development of casting products to improve casting yield and casting quality. The optimal design of castings is obtained by improving the design through pouring system using bottom pouring and optimizing the riser design. The results of this study obtained Design # 2 as a design choice of pouring system because it can improve the quality of casting products. Design # 2 optimized again into Design # 4 as the optimum design and able to increase the yield casting by 5.11% from the previous design (Design # 2). The result of techno economic analysis shows that by allocating 4% budget for design cost can contribute to decrease of production cost of foundry ESV housing up to 54,95%.
Other Latest Articles
- The Effect of Distribution Channels Toward Sales Level at Ud Martabe Tarutung
- CNSM: COSINE AND N-GRAM SIMILARITY MEASURE TO EXTRACT REASONS FOR SENTIMENT VARIATION ON TWITTER
- A SURVEY OF ANDROID PLATFORM BASED MALWARE DETECTION TECHNIQUES
- PRIORITY BASED NON-PREEMPTIVE SHORTEST JOB FIRST RESOURCE ALLOCATION TECHNIQUE IN CLOUD COMPUTING
- A FRAME WORK TO IMPROVE PERFORMANCE OF DISTRIBUTED DATA MINING USING RANKING AND MULTI-AGENT SYSTEMS
Last modified: 2018-05-04 23:32:07