Session: Research Posters
Paper Number: 113281
113281 - Microwave Energy 3d Printing - Contactless Machining Process, Rapid Prototyping, Surface Finishing and Material Science Based on Machine Learning Algorithm Simulation Models
Create a contactless machining and rapid prototyping process using microwave energy radiation technology in 3D printers as work-tool. Adopting the basic functionalities of 3D printing but using microwave energy as the conduit to transfer energy and perform work on work-piece subsequently adding value and transforming it into desired product. Modern innovative machining processes enable us to impart energy in its various forms and perform desired work on the piece. Some of the most basic modern machining processes are undertaken using lasers, ultrasound, electrolysis, plasma, they have fewer moving components and can be controlled better for quality standards. Compared to traditional machining they are flexible and overall efficient and can be used to erode or add material and are easier to design for manufacturing. Other advantages include Ease of calibration, work rate, economic benefits, efficient resource utilization, metallurgical/material/chemical advantages, improved time and pace parameters, automation, quality control etc. Some expected user applications are in the fields of material engineering and new machining process under production technology. Using microwaves for 3D printing could also assist in efficient machining dimensional control, right to repair, pharmaceutical initiatives, within service industry, and last but not least for redefining modern creative arts and designs. A value creation and addition system that utilizes microwave energy as tooltip to perform work on material to high customization and quality, increases economic and sustainable solutions.
Types of energy contact-less processes available,
1) Electromagnetic – radio waves, visible light, x-rays, gamma, Microwaves etc.
2) Particles – alpha, beta and neutron.
3) Acoustic – sound, ultrasound, seismic etc.
4) Gravitational – molecular, chemical bonds, ionizing etc.
Use electromagnetic radiation for energy-based machining process
• Use of microwave radiation to perform work on work piece
• Ultraviolet, infrared and x-rays can be used as well as hybrid process
• Joining and coating process, surface finishing using radiation based additive manufacturing
• Ferrous metals and sharp edge objects can be machined as well but only after application of masking plates
Creating a hybrid machining process helps,
1) Machine complex geometries, with better tolerances, higher surface finish and enhanced quality parameters
2) The process works with difficult materials and helps in adding to the material database for manufacturing.
3) Create a start-to-end machining process optimizing process parameters.
This research hopes to highlight innovation and encourage new technologies to be utilized alongside traditional methods to achieve sustainable growth towards the future. Innovation in 3D printing enabled rapid prototyping involving microwaves energy as work machine processes can explore avenues in mechanical engineering.
Presenting Author: Vaibhav Sanghvi PhD Researcher
Presenting Author Biography: Experienced PhD Researcher with a verve of working in the engineering management industry. Skilled in Mechanical Engineering and Production Management, Business Engineering Management, MBA marketing, finance and risk management. My PhD in contactless additive manufacturing, material science and data analytics has helped me develop new processes for industry applications. My strengths in Technical Project Management, Quality and
Safety, Lean Management etc. help me bring a unique set of skills integrating technical and business management to be a Generalist. Being an ex-entrepreneur and having successfully started a company, scale it and early exit
has helped me grow personally and professionally to succeed also as a researcher entrepreneur.
Authors:
Vaibhav Sanghvi PhD ResearcherMicrowave Energy 3d Printing - Contactless Machining Process, Rapid Prototyping, Surface Finishing and Material Science Based on Machine Learning Algorithm Simulation Models
Paper Type
Poster Presentation