scholarly journals Root Cause Detection for Excess Control Rod Vibration in Fuel Injection Pump Using Shainin Methodology

2018 ◽  
Vol 7 (3.6) ◽  
pp. 364
Author(s):  
Shivdarshan Sherugar ◽  
K Jaychandran

Fuel Injection Pump (FIP) is one of the important component of any engine and any issue related to FIP will directly affect the engine. One such issue is excess vibration at full load in multi-cylinder fuel injection pump. Many problem-solving techniques are used in manufacturing industries to reduce rejection rate caused in production line and to improve quality of a product. This study mainly focuses on shainin methodology integrated with six sigma DMAIC, in which various steps were followed to detect and validate the root cause for causing excess vibration of control rod in A-type fuel injection pump.

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hua Xia ◽  
Fuqiang Luo ◽  
Zhong Wang

The fuel injector is an important component of the diesel engine. It has a great influence on the atomization of diesel fuel injection, the formation of mixed gas, and combustion emissions. Due to the current nozzle structure, processing level, and the internal hydraulic conditions of each nozzle, there are certain differences between the injection rules of each hole, and there are few methods to quantify the quality of the injector using mathematical methods in engineering. Based on the principle of spray momentum, this paper measures the injection characteristics of each hole of four five-hole pressureless chamber injectors of the same model and analyzes the circulating fuel injection volume and flow coefficient of each injector and each hole under different working conditions. It is proposed to evaluate the quality of the injector with the average circulating fuel injection volume, average flow coefficient, and nonuniformity as indicators. The test results are as follows: there are differences in the circulating fuel injection volume and flow coefficient between each hole of the same fuel injector. With the increase of the fuel injection pump speed, the average circulating fuel injection volume of each hole differs by 2.8%–47.5%, and the average flow coefficient differs by 3.7%–30%; as the fuel injection volume increases, the average circulating fuel injection volume of each injector differs 1.8%–36%, and the average flow coefficient difference is 2.5%–28.7%. The circulating fuel injection volume and flow coefficient of different fuel injectors of the same model are different. With the increase of the fuel injection pump speed, the average circulating fuel injection volume of each injector differs by 3.5%–9.6%, and the average flow coefficient differs by 1.4%–5.7%; as the fuel injection volume increases, the average circulating fuel injection volume of each injector differs 0.3%–5.5%, and the average flow coefficient difference is 2.8–4.2%. The relative flow coefficient of each hole differs from 0 to 0.02, and the nonuniformity differs from 1.8% to 16.9%. The relative circulating fuel injection amount of each hole differs from 0.02 to 0.1, and the nonuniformity differs from 1.1% to 6.9%. The relative flow coefficient of each hole and its nonuniformity is smaller than the relative circulating fuel injection volume of each hole and its nonuniformity.


2021 ◽  
Vol 5 (1) ◽  
pp. 75-80
Author(s):  
Felisia Sutomo

Quality is one of the key success factors to achieve competitive advantage. When companies succeeded to improve quality of the service or product given, they will have the possibility to increase their market share and eventually their profit. One of the methods to increase quality is by doing six sigma analysis that focuses on the cause of the problem. The research is done in PT Cemara Agung, one of textile industries in Indonesia. Research method used is descriptive study. Literature study, observations, and interviews has been done in order to search root cause and generate recommendations. The analysis shows that almost fifty percent of the main cause in defect products is happened to the weaving department, which then cause the profit of the company decreased as an impact of the spoilage produced. By doing six sigma analysis and finding recommendations to resolve the problems, the company is expected to be able to reduce the quality cost, increase the quality and eventually increase the profit of the company.    


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