scholarly journals Optimization based on genetic algorithms on energy conservation potential of a high speed SI engine fueled with butanol–gasoline​ blends

2022 ◽  
Vol 8 ◽  
pp. 69-80
Author(s):  
Kaimin Liu ◽  
Banglin Deng ◽  
Qian Shen ◽  
Jing Yang ◽  
Yangtao Li
Keyword(s):  
Genetic Algorithms ◽  
Energy Conservation ◽  
High Speed ◽  
Si Engine

scholarly journals Analysis of high-speed broadband flame chemiluminescence imaging in a SI engine

2020 ◽  
Vol 788 ◽  
pp. 012060
Author(s):  
S Shawal ◽  
M S Meon ◽  
J B Saedon ◽  
M F Remeli ◽  
N H Mohamad Nor ◽  
...  
Keyword(s):  
High Speed ◽  
Si Engine

scholarly journals The effect of gasoline-waste plastics oil blends on SI engine performance at high-speed rotation

2020 ◽  
Vol 463 ◽  
pp. 012002 ◽  
Author(s):  
Khairil ◽  
Muhammad Jihad ◽  
Teuku Meurah Indra Riayatsyah ◽  
Samsul Bahri ◽  
Sarwo Edhy Sofyan ◽  
...  
Keyword(s):  
High Speed ◽  
Engine Performance ◽  
Waste Plastics ◽  
Si Engine ◽  
Oil Blends ◽  
High Speed Rotation ◽  
Speed Rotation

Multiobjective optimization of parallel kinematic mechanisms by the genetic algorithms

Robotica ◽  
2011 ◽  
Vol 30 (5) ◽  
pp. 783-797 ◽  
Author(s):  
Ridha Kelaiaia ◽  
Olivier Company ◽  
Abdelouahab Zaatri
Keyword(s):  
Genetic Algorithms ◽  
Multiobjective Optimization ◽  
High Speed ◽  
Optimization Problem ◽  
Multiobjective Optimization Problem ◽  
Dimensional Synthesis ◽  
Nsga Ii ◽  
Parallel Kinematic ◽  
Parallel Kinematic Mechanisms ◽  
Kinematic Mechanisms

SUMMARYIt is well known that Parallel Kinematic Mechanisms (PKMs) have an intrinsic dynamic potential (very high speed and acceleration) with high precision and high stiffness. Nevertheless, the choice of optimal dimensions that provide the best performances remains a difficult task, since performances strongly depend on dimensions. On the other hand, there are many criteria of performance that must be taken into account for dimensional synthesis, and which are sometimes antagonist. This paper presents an approach of multiobjective optimization for PKMs that takes into account several criteria of performance simultaneously that have a direct impact on the dimensional synthesis of PKMs. We first present some criteria of performance such as the workspace, transmission speeds, stiffness, dexterity, precision, as well as dynamic dexterity. Secondly, we present the problem of dimensional synthesis, which will be defined as a multiobjective optimization problem. The method of genetic algorithms is used to solve this type of multiobjective optimization problem by means of NSGA-II and SPEA-II algorithms. Finally, based on a linear Delta architecture, we present an illustrative application of this methodology to a 3-axis machine tool in the context of manufacturing of automotive parts.

Comprehensive study of key operating parameters on combustion characteristics of butanol-gasoline blends in a high speed SI engine

2018 ◽  
Vol 212 ◽  
pp. 13-32 ◽  
Author(s):  
Kaimin Liu ◽  
Yangtao Li ◽  
Jing Yang ◽  
Banglin Deng ◽  
Renhua Feng ◽  
...  
Keyword(s):  
High Speed ◽  
Combustion Characteristics ◽  
Operating Parameters ◽  
Si Engine ◽  
Comprehensive Study

Automatic generation of energy conservation measures in buildings using genetic algorithms

2011 ◽  
Vol 43 (10) ◽  
pp. 2718-2726 ◽  
Author(s):  
V. Siddharth ◽  
P.V. Ramakrishna ◽  
T. Geetha ◽  
Anand Sivasubramaniam
Keyword(s):  
Genetic Algorithms ◽  
Energy Conservation ◽  
Automatic Generation ◽  
Conservation Measures ◽  
Energy Conservation Measures

Application of High-Speed PIV Diagnostics for Simultaneous Investigation of Flow Field and Spark Ignited Flame inside an Optical SI Engine

2017 ◽  
Vol 10 (3) ◽  
pp. 917-927 ◽  
Author(s):  
Minh Khoi Le ◽  
Takashi Furui ◽  
Atsushi Nishiyama ◽  
Yuji Ikeda
Keyword(s):  
Flow Field ◽  
High Speed ◽  
Si Engine
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