In this experimental work, the micro structure and the micro hardness of the surfaces machined under the dry EDM process is analyzed for AISI D2 tool steel and LM13 aluminum alloy. The experiments were conducted using copper tool electrode. Few modifications were made in the tool for conducting the experiments under dry EDM process. Discharge current, pulse on time, voltage, pressure, tool rotational speed and the duty factor were used as the various process parameters and their influence over the micro structure and micro hardness of the machined surfaces were analyzed. Better results were observed in the dry EDM process for AISI D2 tool steel, whereas dry EDM process did not reveal appreciable results for LM13 aluminum alloy.

Business is passion for the educated youth in the current global market scenario. Youth have a vision on Business-to-Consumer venture for their profit growth. This is achieved by the acceptance and utilization of technology trends and are handled by engineering students. Curriculum projects of engineering students should be converted into useful products for the society through the business model. Innovative projects are happening in the campus, but scope of these projects scaled up into prototypes and its development in to marketable products is minimal. Most of these markets are in the electronics and information sciences arena. Mechanical Engineering stream has a huge potential that is waiting to be explored. The aim of this paper is to enhance discussion on the entrepreneurial inquisitiveness of mechanical engineering students to campus start-up and its possibilities for a Business-to-Consumer model. For that, final year undergraduate mechanical engineering students across Kerala, India has been selected.SEM was applied to a sample of 392 students from the APJ Abdul Kalam Technological University, across Kerala, India. The findings highlight the participation of mechanical engineering students on campus start-ups and its support from various organizations. The scope of start-up products from business to consumer is positively accepted.

Start-up ecosystems are emerging rapidly worldwide. The speed of technology innovation and the diversity of business ideas keep the start-up landscape in constant flux. While many emerging start-ups are in the areas of electronics and information sciences, the field of mechanical engineering has huge potential that has yet to be exploited. Today’s mechanical engineering students need to be well positioned to recognize and seize potential start-up opportunities. This study examines the involvement of Indian mechanical engineering students in campus start-ups and the challenges they face in nascent entrepreneurship. Structural equation modelling was applied to a sample of 396 final-year undergraduate mechanical engineering students from the APJ Abdul Kalam Technological University in Kerala. Data collection was achieved through a questionnaire developed on the basis of existing literature, feedback and market research. The findings highlight the currently prevailing barriers and best practices, and recommendations are derived for leveraging the nascent entrepreneurship potential of the mechanical engineering discipline. The negative effects of the barriers are positively moderated by the activities of campus-based entrepreneurship centres. The study results provide insights into the role of universities, higher education departments and government agencies in promoting a sustainable campus start-up culture through entrepreneurial learning.

This work extent with the improvement of machining parameters in turning of SS304 austenitic stainless-steel in Computer Numerical Control (CNC) shaping machine by victimization of coated inorganic compound tools. Throughout the experiment, process parameters like Speed, Feed and Depth of Cut are used to inquire their general intent on the Surface Roughness (Ra) and Material Removal Rate (MRR) as the quality targets. 9 experimental runs supported by one factor at a Time Approach as Design of Experiment and Grey Relational Analysis (GRA) method is applied to see associate degree for optimum CNC turning parameter setting. An optimal parameter combination of the turning method is obtained by victimization of Grey Relational Analysis. By dissecting the Grey Relational Grade matrix, the degree of influence for every controllable process factor onto individual quality targets is found for the higher performance characteristics.