Fucus vesiculosus algae oil deoxygenation and cracking: Reaction parameter optimization using response surface methodology

2022 ◽  
Author(s):  
Zahraa Nazzal Hussain ◽  
Ali Abd Al-Hussein Jazie
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Parameter Optimization ◽  
Fucus Vesiculosus ◽  
Reaction Parameter ◽  
Cracking Reaction ◽  
Algae Oil

Printing parameter optimization of stent length accuracy by using response surface methodology (RSM)

2021 ◽  
Author(s):  
Amirul Asyraf Azli ◽  
Noorhafiza Muhammad ◽  
Mohd Mustafa Abdullah Albakri ◽  
Mohd Fathullah Ghazali ◽  
Shayfull Zamree Abd Rahim ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Parameter Optimization ◽  
Stent Length ◽  
Printing Parameter

Parameter optimization of a diesel engine to reduce noise, fuel consumption, and exhaust emissions using response surface methodology

2005 ◽  
Vol 219 (10) ◽  
pp. 1181-1192 ◽  
Author(s):  
Z Win ◽  
R P Gakkhar ◽  
S C Jain ◽  
M Bhattacharya
Keyword(s):  
Response Surface Methodology ◽  
Diesel Engine ◽  
Response Surface ◽  
Fuel Consumption ◽  
Parameter Optimization ◽  
Direct Injection ◽  
Engine Performance ◽  
Optimization Techniques ◽  
Injection Timing ◽  
Test Engine

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.

Lathe boring operation on ASTM A304 steel parameter optimization using response surface methodology

2019 ◽  
pp. 1-15
Author(s):  
Christopher Okechukwu Izelu ◽  
Emmanson Itoro Essien ◽  
Modestus Okechukwu Okwu ◽  
Danladi King Garba ◽  
Christopher Nonye Agunobi-Ozoekwe
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Parameter Optimization
Sign in / Sign up

Export Citation Format

Share Document