Manufacturing Technology Today

T. Kannan ¹, B. N. Sreeharan ¹

Affiliations
1 Dept. of Mechanical Engg., Kumaraguru College of Technology, Coimbatore, IN

Abstract

In order to gain competitive advantage in global market it is necessary to reduce the manufacturing lead time for every product. There is a potential for time saving in the design process. In a modeling process, the design can be automated by using parametric modeling technique. This paper throws an insight towards the parameterization of an open type drive wheel assembly of an Apron Conveyor using Pro/PROGRAM, a feature in Pro/ENGINEER Wildfire 3.0 software by controlling the geometrical parameters, using parametric modeling technique. This work is intended to reduce the overall modeling time of an assembly. The modeling process is significantly simplified by reducing the number of the modeling steps thereby reducing modeling errors resulting in enhanced quality of the products. The end user need not to have design skills or knowledge of using CAD systems. The complexity of the modeling is hidden from the user.

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T. Kannan ¹, R. Saravanan ¹, T. Ramesh ¹

Affiliations
1 Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore-641006, IN

Abstract

Welding process is used in most of the manufacturing Industrie which requires metal joining in a large scale. In any welding process it is very essential to optimize process parameters in order to achieve desired weld bead characteristics. In this work, combined objective function of maximizing the bead penetration, minimizing the dilution, reinforcement and width w/as considered. Four SAW process parameters (voltage, wire feed rate, welding speed, and nozzle to plate distance) were identified for optimization subjected to realistic process constraints. Several conventional techniques had been suggested in the literature for solving this problem. But these techniques are not robust and take iot of time to find the global optimum and are difficult to understand and implement. In order to over come the difficulties with conventional techniques a new technique called particle swarm optimization is implemented In this work. PSO is a simple and powerful technique based on the concept of social interaction to problem solving. In PSO a swarm search of n individuals communicate either directly or indirectly with one another for getting the search direction. This algorithm starts with 20 particles (solutions) and searches for the new ones by updating the velocities. Maximum of 500 iterations were performed and the solution was obtained. Software has been written using VC++ language. The solution obtained by this procedure is found to be superior. The computational effort is very less and easy to implement.

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T. Kannan ¹, N. Murugan ²

Affiliations
1 Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore-641006, IN
2 Coimbatore Institute of Technology, Coimbatore-641014, IN

Abstract

Weld cladding is a process of depositing a thick layer of metal surface to a carbon steel base metal for the purpose of providing a corrosion resistant surface when that surface is to be exposed to a corrosive environment, In cladding process, most of the engineers often face the problem of selecting optimum combination of input process parameters for achieving the required clad quality. This problem can be solved by optimizing the process parameters. This paper focuses an experimental study and analysis of various input process parameters and important clad quality parameters in duplex stainless steel cladding of low carbon structural steel plates deposited by Flux Cored Arc Welding (FCAW). The experiments were conducted based on four-factor five level central composite rotatable design with full replications technique and mathematical models were developed using multiple regression methods.  Further, optimization of percentage dilution was carried out.

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