Major thrust areas of research are Engineering Design & Manufacturing, Reverse Engineering, Rapid Prototyping & Rapid Tooling, CAD/CAM, Computer Graphics & Computational Geometry, Kinematics & Dynamics of Mechanisms.
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Quest Virtual NC
Faro ARM
The Faro Arm is a counter-balanced, temperature compensated, six degree of freedom measurement arm, constructed of anodized, aircraft aluminum with precision bearings. Proprietary, hybrid analog/digital transducers at each of six joints combine to provide complete point position (XYZ) and orientation (IJK).
1. Surfacer
2. AnthroCAM Surfacer provides a flexible environment that is utilized by artists, designers and engineers to meet their modeling demands from concept through manufacturing.Key Features :
Cubital Facility
Specifications Build SizeModels up to 500*350*500 mm (20*14*20 inch) can be builtAchievable Accuracy0.1% (Measured between targets through the material)X-Y Resolution0.084 mm (0.0033 inch)Z Resolution (Variable Layer Thickness)0.1 - 0.2 mm (0.004 - 0.008 inch)
Fused Deposition Modeling or FDM is a process which deposits a continuous filament of a thermoplastic polymer through a resistively heated nozzle, the material is delivered as a wire in to the extrusion head and heated to slightly above its flow point, so that it solidifies relatively quickly after it exits the nozzle.
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The lab has extensive research areas including Metal Cutting, Metal Forming, Manufacturing Automation, Tool Wear Monitoring, Unconventional Machining Processes, Accelerated Cutting, CAPP, CAM, Machining of Advanced Engineering Materials, Die and Mold Design, Condition Monitoring, Tribology, Micro electromechanical systems, Nanofabrication.
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In house Fabricated Experimental Setups for
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The research is concerned with the flow Past Bluff Bodies, Large-eddy Simulation, Flow and heat Transfer in Impinging Slot Jet, Mixed Convective Flow Studies, Natural Convection in Anisotropic Porous Enclosures, CFD in Food Processing, Flow Structure and Heat Transfer in Heat Exchanger Applications.
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Research area includes Multi-Objective Evolutionary Algorithms, Non-dominated Sorting Genetic Algorithm, Innovization: Innovation Through Optimization, Real-Parameter Genetic Algorithms, Constrained Nonlinear Optimization.
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KanGAL is equipped with state of the art computing facilities to help students and researchers perform computationally expensive simulations. KanGAL houses two clusters and several workstations to augment cutting-edge research in the field of genetic algorithms and engineering optimization problems. Following are the machines that are at present housed at KanGAL:
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