Aug. 1, 2016
Research Scholar
166103104
rajdeep.mech@alumni.iitg.ac.in
Machine Design
Science is very close to my heart. My dream is to foster the beauty and mileage of science in most enjoyable way it is possible to as many people.
Rajdeep is presently working as full-time Research Associate at the INSIGNEO Institute for in silico Medicine, University of Sheffield, UK with Prof Damien Lacroix and Prof Enrico Dall'Ara in the megaproject, METASTRA. Prior to that, he was working as Senior Project Scientist and thereafter Project Scientist B in the Department of Mechanical Engineering at Indian Institute of Technology Delhi with Dr Kaushik Mukherjee, Assistant Professor, IIT Delhi in an Indo-German Collaborative Project on "Development of patient-specific additively-manufactured mandibular implants with biotechnology-inspired functional lattice structures" funded by Indo-German Science and Technology Centre. He was earlier an Institute Doctoral Fellow during his stay in the Department of Mechanical Engineering at Indian Institute of Technology Guwahati working with Prof. D. Chakraborty in the Fracture Mechanics and Composite Structures Laboratory and Dr S. Chanda of the Department of Biosciences and Bioengineering. He was also associated with Biomechanics and Simulations Laboratory of IIT Guwahati. Before joining the doctoral programme, he worked for Kirloskar Brothers Limited as a Graduate Engineer Trainee (GET) for a short period after completing his major in mechanical engineering from the National Institute of Technology Agartala.
His research interests are musculoskeletal biomechanics, multiscale mechanobiology, fracture risk assessment, implant design, fracture healing, bone tissue engineering, Soft Computing and optimization.
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The shape and geometry of surface features on implant surface are known to improve biologic fixation of the implant with the host bone thereby improving secondary (biological) implant stability. Microscopic surface features on implant surface include dimple like depressions, miniaturized protrusions of various shapes, generally spherical for ease of manufacturing, pores etc. whose size range from submicron to a few hundred microns. On the other hand, macroscopic surface features include threading, vents, serrations and many other macroscopic textures having a length scale typically in the order of millimetres and above. Earlier in silico studies have reported the influence of microstructural implant surface features on bone growth but none of the investigations has interrogated the influence of multiple macro-textured implant surfaces on bone growth.
The goal of the study is to understand the influence of multiple macro-textured implant surfaces on bone growth at the bone-implant interface. Morphology of the surface textures was designed roughly based on the textures found on three different commercial femoral stems. The first phase of the study incorporated bone-implant interface representative models and mechanobiology based finite element study to analyze the combined influence of bone-implant tangential displacement or micromotion and variation in surface morphology on bone growth. The second phase of the study analyzed the combined influence of bone-implant radial displacement or opening/closing of interface gap, tangential displacement, texture density and variation in surface morphology on bone growth. The study is further progressed by enabling soft-computing techniques like neural networks (NN) to predict bone growth with the change in geometrical features of implant surface textures and genetic algorithms (GA) to hunt for an optimal design of surface textures for each of the representative macro-textured implant surfaces.
This study is partially funded by SPARC, Govt of India, Project ID: SPARC/P705.