Mandeep Dhanda
@pec.ac.in
Assistant Professor, Department of Production & Industrial Engineering
Punjab Engineering College, Chandigarh
My personal experience has shown me that a career in teaching and research will keep me happy and excited. The essence of my research is and will be, coming up with something novel, bearing in mind the relevance to the present-day world and the common man. I have found that developing nations like India, desperately need economically viable scientific knowledge that has practical applicability. In India, more often than not, cutting edge science is locked up in an ivory tower, far removed from the needs of the masses. In the long run, I see myself as an active researcher, deploying my newly acquired scientific knowledge to address problems of practical importance. In conclusion, I am a person who likes to take up challenges and give my best in whatever I do.
EDUCATION
M.Tech. (IIT-Kharagpur), Ph.D. (IIT-Bombay)
RESEARCH INTERESTS
CAD/CAM, Algorithms for Multi-axis CNC Machining, Hybrid (Additive+Subtractive) Manufacturing, Digital manufacturing, Reverse Engineering, Industrial automation, Laser Cladding and Material Characterization, Artificial Intelligence Techniques - GA, NN
FUTURE PROJECTS
Algorithms for multi-axis CNC Machining
Applications Invited
COLLABORATORS/STUDENTS
Development and characterization of hard and wear-resistant MMC coating on Ti-6Al-4V substrate by laser cladding
Applications Invited
COLLABORATORS/STUDENTS
An Approach towards Repairing Of Nimonic Alloy Component through Laser Based Layered Additive Manufacturing Technique
Applications Invited
COLLABORATORS/STUDENTS
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Kunal Chauhan, Jimmy Karloopia, R. S. Walia, and Mandeep Dhanda
Informa UK Limited
S. Mehta, P. Gauba, S. Kaushal, P. Ali, M. Dhanda, and R. S. Walia
Springer Nature Singapore
Mandeep Dhanda, Aman Kukreja, and S. S. Pande
Springer Nature Singapore
Mandeep Dhanda, Aman Kukreja, Mayank Patel, and S. S. Pande
Informa UK Limited
Rahul O. Vaishya, Vivek Sharma, Vinod Mishra, Anurag Gupta, Mandeep Dhanda, R. S. Walia, Manoj Kumar, Ankit D. Oza, Dumitru Doru Burduhos-Nergis, and Diana Petronela Burduhos-Nergis
MDPI AG
Burnishing is a cold working technique used as a surface enrichment to meet the desired surface properties of the workpiece. It improves the visual properties, dimensional tolerances, fatigue strength, surface roughness, and hardness of the work material by applying appropriate pressure through a complex ball burnishing tool to cause plastic deformation. In the current work, the mathematical modeling of the burnishing process was carried out to predict surface roughness by considering the process parameters such as contact radius, penetration depth, and elastic rebound. Further, a customized tungsten carbide (W.C.) insert having a hardness of 80 HRC was developed for the burnishing operation. The micro-hardness of the resulting burnished surface improved from 44 to 48 HRC. The surface quality of the tungsten carbide insert improved by up to 17.1 nm through polishing. Several experiments were performed by selecting appropriate process parameters using developed model feedback. The surface quality of the workpiece improved by up to 45 nm, which resulted in automatic improvements in fatigue strength up to seven times that of the virgin material. The results predicted from the mathematical model were in good agreement (less than 5% deviation) with the experimental results. This study helps to understand the surface formation mechanism in the burnishing process in more detail. Additionally, the achieved results show a significant improvement in the surface finish (~95%), indicating the potential of the burnishing process and how fast and cost-effective it is. The novelty of this paper lies in the improvement in surface roughness and the validation of our mathematical model results with the experimental results.
Aman Kukreja, Mandeep Dhanda, and Sanjay Pande
ASME International
Abstract Today freeform surfaces are widely used on products in automobile, aerospace, and die/molds industries, which are generally manufactured using multi-axis CNC machines. Frequent changes in the design of products necessitate creation of CNC part programs which need fast and accurate toolpath generation methods. Traditional toolpath generation methods involve complex computations and are unable to consider multiple surface patches together. The voxel-based CAD model provides the ability to represent the multi-patch surfaces in a discretized manner which can be processed using an advanced parallel computing framework for accurate tool path planning. This paper presents a new method to generate an adaptive Iso-planar toolpath for a 3-axis CNC machine using the voxel-based part model. The algorithm is designed to work on a Graphics Processing Unit (GPU) that allows parallel processing for faster toolpath generation. The proposed approach consists of two main steps, an algorithm to generate gouge free cutter location points from the voxel-based CAD model and an algorithm to find out sidestep and forward step from those cutter location points to create the final CNC tool path. A new image-processing technique has been proposed to identify gouge by detecting the shadow surface voxels and their intersection with the cutting tool. The developed system was extensively tested and compared with the various reported toolpath planning strategies for machining complex freeform surface parts. The results show that the developed method is computationally efficient, robust, and accurate in generating adaptive planar toolpath.
Mandeep Dhanda, Aman Kukreja, and SS Pande
SAGE Publications
This paper reports a novel method to generate adaptive spiral tool path for the CNC machining of complex sculptured surface represented in the form of cloud of points without the need for surface fitting. The algorithm initially uses uniform 2 D circular mesh-grid to compute the cutter location (CL) points by applying the tool inverse offset method (IOM). These CL points are refined adaptively till the surface form errors converge below the prescribed tolerance limits in both circumferential and radial directions. They are further refined to eliminate the redundancy in machining and generate optimum region wise tool path to minimize the tool lifts. The NC part programs generated by our algorithm were widely tested for different case studies using the commercial CNC simulator as well as by the actual machining trial. Finally, a comparative study was done between our developed system and the commercial CAM software. The results showed that our system is more efficient and robust in terms of the obtained surface quality, productivity, and memory requirement.
Mandeep Dhanda, Aman Kukreja, and S. S. Pande
ASME International
Abstract This paper presents an efficient tool path planning strategy for three-axis computer numeric control (CNC) machining using curvature-based segmentation (CBS) of freeform surface from its representation in the form of a point cloud. Curvature parameters estimated over the point data are used to partition the surface into convex, concave, and saddle-like regions. Grid-based adaptive planar tool path planning strategy is developed to machine each region separately within its boundaries. In addition to the region-by-region machining, a strategy to stitch the obtained regions is also developed to minimize the tool lifts and tool marks. The developed region-based tool path planning strategy is compared with the point-cloud-based adaptive planar strategy, iso-scallop strategy, and commercial software for parts with various complexities. The result shows significant improvement in terms of performance parameters, namely, machining time, tool path length, and code length while maintaining the desired part surface quality. The proposed method is also tested by machining a real surface and analyzing its surface quality.
Mandeep Dhanda, Aman Kukreja, and S. S. Pande
American Society of Mechanical Engineers
Abstract This paper presents a new method to generate an adaptive spiral tool path for 3-axis CNC machining of the complex freeform surface directly from its representation in the form of the point cloud. The algorithm first constructs the uniform 2D circular mesh-grid to compute the Z (CL) points by applying the tool inverse offset method (IOM). Adaptive grid refinement is carried out iteratively until the surface form errors converge below the prescribed tolerance limits in both circumferential (forward) and radial (step) directions. Adaptive CL points are further refined to minimize the no. of tool lifts and generate an optimum sequence of machining regions. The optimized CL points are post-processed to generate the final CNC part programs in the ISO format. The part programs generated by our algorithm were extensively tested for various case studies using the commercial CNC simulator. The results were compared with those from the commercial CAM software. Our system was found to generate more efficient tool paths in terms of enhanced productivity, part quality, and reduced memory requirement.
Aman Kukreja, Mandeep Dhanda, and S. Pande
CAD Solutions, LLC
Multi-axis CNC machines are widely used to manufacture complex industrial parts such as dies and molds. The current CNC toolpath planning strategies are complex and often lead to inefficient part programs. This paper presents an approach to use voxel-based CAD models for efficient zig-zag toolpath planning. The developed system focusses on the rough milling of complex parts having multiple machining features. The system takes the CAD (STL) part model and identifies the machinable and non-machinable areas by analyzing the voxelized part model. This follows the segmentation of machinable area into smaller machining regions. Genetic Algorithm is then used to generate an optimum sequence of machining these regions to reduce air cutting path. The developed system was extensively tested using parts with varying machining feature complexities. The system was found to be better than the traditional zigzag roughing toolpath generation methods in terms of the reduction of the number of tool liftoffs and air cutting path length.
A. Kukreja, H. D. Mane, M. Dhanda, and S. S. Pande
Springer Nature Singapore
Mandeep Dhanda and S. Pande
CAD Solutions, LLC
This paper reports the development of an efficient tool path planning strategy for machining of freeform surfaces directly from their representation in the form of point cloud without interim surface fitting. A grid based adaptive planar strategy has been designed and implemented for 3-axis CNC machining using ball end mill. Uniform CL grid points are initially computed by using tool inverse offset algorithm. Estimating the chordal and scallop errors likely to be produced, adaptive grid refinement is carried out iteratively till the errors converge below the prescribed tolerance limits. Adaptive grid (CL) points are subsequently processed to generate the final CNC part programs in the ISO format. The part programs were extensively tested for various case studies using the commercial CNC simulator as well on the actual CNC machine. Effects of variation of grid size and cloud point density were studied for grid optimality and their effect on the quality of CNC programs generated. The results were compared with those from the commercial software. Our system was found to generate more efficient tool paths in terms of enhanced productivity, part quality and reduced memory requirement.