Modeling and Optimization of Carbon Steel AISI 1045 Surface Roughness in CNC Turning Based on Response Surface Methodology and Heuristic Optimization Algorithms
Vijay Nagandran,
Tiagrajah V. Janahiraman,
Nooraziah Ahmad
Issue:
Volume 3, Issue 6, December 2017
Pages:
56-62
Received:
30 October 2017
Accepted:
22 November 2017
Published:
11 January 2018
Abstract: Surface roughness or surface quality is considered to be one of the most crucial requirement of a machined part since it directly influences the mechanical properties of the part. However, the traditional method of choosing cutting parameters’ values to obtain a good surface finish has its own disadvantages. Therefore, an experimental study has been conducted to develop a suitable mathematical model and pair it with an optimization technique that able to produce low surface roughness of carbon steel AISI 1045. Response surface methodology (RSM) is used to develop the mathematical model whereas three types of heuristic optimization methods namely Genetics Algorithm (GA), Particle Swarm Optimization (PSO) and Simulated Annealing (SA) employed to optimize the model and find the optimal cutting parameters’ values. A brief comparison of the three optimization methods has been made to study their performance to the developed model. Experimental results indicate that the proposed modeling technique and PSO are quite efficient in determining optimal cutting parameters for CNC turning of carbon steel AISI 1045.
Abstract: Surface roughness or surface quality is considered to be one of the most crucial requirement of a machined part since it directly influences the mechanical properties of the part. However, the traditional method of choosing cutting parameters’ values to obtain a good surface finish has its own disadvantages. Therefore, an experimental study has bee...
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Study and Prediction of Landslide in Uttarkashi, Uttarakhand, India Using GIS and ANN
Dilip Kumar,
Neha lakhwan,
Anita Rawat
Issue:
Volume 3, Issue 6, December 2017
Pages:
63-74
Received:
22 November 2017
Accepted:
11 December 2017
Published:
22 January 2018
Abstract: Landslide is defined as a slow to rapid downward movement of instable rock and debris masses under the action of gravity. Landslides are one of the major natural hazards that account for hundreds of lives besides enormous damage to properties and blocking the communication links every year. The area chosen in the present study is Uttarkashi district of Uttarakhand, suffering from frequent landslides every year. Present study focused on the possible factors that are responsible for the landslide in hilly regions of Uttarakashi, Uttarakhand. In present study we used the already existing topographical maps, satellite imageries and field work. Integrated them together using GIS and soft computing to create a database that will generate the output for the future use for prediction of susceptibility of landslide. The main aim of present study is to integrate the result of our study with spatial data, soil parameters, land inventory and used the output as a user friendly application using GIS which could predict the future susceptibility of region to landslide and% contribution of each factor for the same. In this study, layers are evaluated with the help of stability studies used to produce landslide susceptibility map by Artificial Neural Network (ANN). ArcGIS 9.3, ERDAS and Excel software have been used for zonation, and statistical analysis respectively. Database of this information layer is used to train, test, and validate the ANN model. A three-layered ANN with an input layer, two hidden layers, and one output layer is found to be optimal. Finally, an overlay analysis will be carried out by evaluating the layers obtained according to their accepted coefficient in final model.. Efficiency of the application will be calculated by the help of previously acquired data of the study area at different places and then the reliability of the application will be judged.
Abstract: Landslide is defined as a slow to rapid downward movement of instable rock and debris masses under the action of gravity. Landslides are one of the major natural hazards that account for hundreds of lives besides enormous damage to properties and blocking the communication links every year. The area chosen in the present study is Uttarkashi distric...
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