Comparative study: FPA based response surface methodology & ANOVA for the parameter optimization in process control

2018 ◽  
Vol 73 (1) ◽  
pp. 23-27 ◽  
Author(s):  
Pijush Dutta ◽  
Sudip Mandal ◽  
Asok Kumar
2021 ◽  
Author(s):  
Amirul Asyraf Azli ◽  
Noorhafiza Muhammad ◽  
Mohd Mustafa Abdullah Albakri ◽  
Mohd Fathullah Ghazali ◽  
Shayfull Zamree Abd Rahim ◽  
...  

2018 ◽  
Vol 5 (9) ◽  
pp. 18089-18094 ◽  
Author(s):  
Vinay Kumar ◽  
Amit Kumar ◽  
Sanjay Kumar ◽  
N.K. Singh

Author(s):  
Z Win ◽  
R P Gakkhar ◽  
S C Jain ◽  
M Bhattacharya

The conflicting effects of the operating parameters and the injection parameter (injection timing) on engine performance and environmental pollution factors is studied in this paper. As an optimization objective, a 3.5 kW small direct injection diesel engine was used as the test engine, and its speed, load, and static injection timing were varied as per 4 × 4 × 3 full factorial design array. Radiated engine noise, smoke level, brake specific fuel consumption, and emissions of unburned hydrocarbons and nitrogen oxides were captured for all test runs. Objective functions relating input and output parameters were obtained using response surface methodology (RSM). Parameter optimization was carried out to control output responses under their mean limit using multi-objective goal programming and minimax programming optimization techniques.


Author(s):  
Christopher Okechukwu Izelu ◽  
Emmanson Itoro Essien ◽  
Modestus Okechukwu Okwu ◽  
Danladi King Garba ◽  
Christopher Nonye Agunobi-Ozoekwe

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