MANEESH DASARI

Results-oriented Mechanical Engineer with a comprehensive background in designing, testing, and optimizing mechanical systems. Proven expertise in quality and industrial engineering processes, ensuring seamless integration of efficient manufacturing practices and stringent quality standards. Adept at utilizing CAD software for precise design and simulation. Experienced in managing end-to-end project lifecycles, emphasizing on-time delivery and cost-effective solutions. Collaborative team player with excellent communication skills, committed to driving engineering excellence and continuous improvement. Seeking to apply a diverse skill set in both mechanical and quality engineering to contribute to a forward-thinking organization's success.

DESIGN AND DEVELOPMENT OF ADDITIVE MANUFACTURING

• Led a multidisciplinary team in the conception, design, and implementation of an additive manufacturing process utilizing SS316L metal.
• Conducted extensive literature reviews and feasibility studies to identify optimal printing parameters and material characteristics for SS316L.
• Implemented Design for Additive Manufacturing (DFAM) principles to optimize component geometry for enhanced mechanical properties and reduced production time.
• Conducted thorough material testing and analysis, ensuring compliance with industry standards and identifying opportunities for process improvement.
• Developed and executed comprehensive testing protocols, including tensile testing, microstructure analysis to validate the quality and integrity of printed components.

MANUFACTURING AND ANALYSIS OF ELECTROMAGNETIC BRAKING SYSTEM

• Spearheaded a team of 2 engineers in the design, manufacturing, and analysis phases of an electromagnetic braking system.
• Coordinated project timelines, delegated tasks, and ensured effective communication within the team.
• Led the conceptualization and design of the electromagnetic braking system, integrating principles of electromagnetic induction for efficient braking performance.
• Conducted thorough research to select appropriate materials for the electromagnetic components, considering factors such as heat resistance, durability, and magnetic properties.
• Implemented precision machining and fabrication techniques to manufacture electromagnetic components with tight tolerances, ensuring optimal performance and reliability.

STATIC ANALYSIS ON ROCKER ARM USING DIFFERENT MESH ELEMENTS

• Applied advanced FEA techniques to conduct static analysis on a rocker arm using ANSYS software, simulating real-world loading conditions.
• Utilized different mesh elements (tetrahedral, hexahedral) to assess their impact on stress distribution and deformation behavior.
• Generated high-quality finite element meshes, considering geometric complexities of the rocker arm and ensuring accuracy in stress predictions.
• Implemented material properties and assigned appropriate material models to accurately simulate the mechanical behavior of the rocker arm.
• Defined realistic boundary conditions and loading scenarios based on operational conditions of the rocker arm.
• Simulated a range of loads, including static forces and moments, to assess the structural integrity under different operating conditions.
• Conducted in-depth analysis of simulation results, evaluating stress distribution, deformation, and potential failure modes in the rocker arm.
• Conducted comparative studies between different mesh elements, identifying the trade-offs in accuracy and computational efficiency.
• Presented findings to demonstrate the impact of mesh selection on simulation outcomes.

LINE BALANCING PROBLEM USING RPW METHOD.

• Gathered comprehensive data from Mahindra and Mahindra's automobile plant, including information on workstations, task times, and production requirements.
• Conducted statistical analysis and utilized relevant software tools to preprocess and clean the data for accurate modeling.
• Employed the Ranked Positional Weight (RPW) method to optimize the assembly line by balancing tasks among workstations.
• Utilized mathematical modeling and algorithmic approaches to assign tasks based on their importance and impact on overall production efficiency.
• Conducted detailed analyses of each workstation's efficiency, considering task times, worker skills, and equipment constraints.
• Implemented RPW solutions to minimize idle time, reduce bottlenecks, and improve the overall flow of the assembly line.
• Successfully optimized the assembly line at Mahindra and Mahindra's automobile plant, resulting in improved productivity, reduced idle time, and enhanced overall efficiency.