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I hate sitting in planes. Now I know one part of the Why! Here's what my trusty Temperature and Humidity sensor told me on a recent Indigo flight…
I hate sitting in planes. Now I know one part of the Why! Here's what my trusty Temperature and Humidity sensor told me on a recent Indigo flight…
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1064 hp per SAE guidelines on pump fuel. First twin-turbo version ever. FASTEST Corvette ever! Need I say more? It’s the return of the king, the…
1064 hp per SAE guidelines on pump fuel. First twin-turbo version ever. FASTEST Corvette ever! Need I say more? It’s the return of the king, the…
Liked by Chandan Mozumder
Licenses & Certifications
Volunteer Experience
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President
ASSAM FOUNDATION OF NORTH AMERICA INC
- Present 2 years 4 months
Social Services
Member of the Executive Team and Board of Directors
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Vice President
ASSAM FOUNDATION OF NORTH AMERICA INC
- 2 years 1 month
Social Services
Communication and Volunteer Engagement
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Session Organizer and Co-Chair - Design Optimization - Methods and Applications (SS103)
WCX SAE World Congress Experience
- 9 years 5 months
Science and Technology
Design Optimization Methods and Application session features papers on new and improved optimization techniques and on application of different optimization methods in component and vehicle design. Methods include deterministic and stochastic optimization techniques. Applications range from noise pressure optimization and vehicle dynamic response optimization to sub-system topology and shape and full vehicle gage and topology optimization.
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Coordinator - MI Chapter
IIT Bombay Heritage Foundation
- Present 12 years 9 months
Science and Technology
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TYKTW Day Volunteer
AWIM - A World In Motion
- Present 9 years 6 months
Education
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Cody Campus & Community Makeover Volunteer
Life Remodeled
- Present 10 years 2 months
Poverty Alleviation
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Publications
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Topometry Optimization of Shell-based Structures for Crashworthiness Design using Hybrid Cellular Automata
International Journal of Vehicle Design
An objective in crashworthiness design is to obtain energy-absorbing components. This task has been efficiently undertaken using the Hybrid Cellular Automaton method. This method combines the CA paradigm with nonlinear, dynamic finite element analysis. Lightweight, energy-absorbing topology concepts have been obtained with this approach. This paper furthers the development of the HCA method to an efficient tool for synthesising shell structures using topometry optimisation. The objective is to…
An objective in crashworthiness design is to obtain energy-absorbing components. This task has been efficiently undertaken using the Hybrid Cellular Automaton method. This method combines the CA paradigm with nonlinear, dynamic finite element analysis. Lightweight, energy-absorbing topology concepts have been obtained with this approach. This paper furthers the development of the HCA method to an efficient tool for synthesising shell structures using topometry optimisation. The objective is to find the thickness distribution that uniformly distributes the structures internal energy density. This approach addresses problems involving collisions, large displacement and material plastic hardening. The final designs meet manufacturing and performance constraints.
Other authorsSee publication -
Homotopy Methods for Constraint Relaxation in Unilevel Reliability based Design Optimization
Journal of Engineering Optimization
In reliability based design optimization, a methodology for finding optimized designs characterized with a low probability of failure the main objective is to minimize a merit function while satisfying the reliability constraints. Traditionally, these have been formulated as a double-loop (nested) optimization problem, which is computationally intensive. A new efficient unilevel formulation for reliability based design optimization was developed by the authors in earlier studies, where the…
In reliability based design optimization, a methodology for finding optimized designs characterized with a low probability of failure the main objective is to minimize a merit function while satisfying the reliability constraints. Traditionally, these have been formulated as a double-loop (nested) optimization problem, which is computationally intensive. A new efficient unilevel formulation for reliability based design optimization was developed by the authors in earlier studies, where the lower-level optimization was replaced by its corresponding first-order Karush-Kuhn-Tucker (KKT) necessary optimality conditions at the upper-level optimization and imposed as equality constraints. But as most commercial optimizers are usually numerically unreliable when applied to problems accompanied by many equality constraints, an optimization framework for reliability based design using the unilevel formulation is developed here. Homotopy methods are used for constraint relaxation and to obtain a relaxed feasible design and heuristic scheme is employed to update the homotopy parameter.
Other authorsSee publication -
Synthesis of a Dynamically Loaded Structure with Topology Optimization
SAE International Journal of Passenger Cars – Mechanical Systems
In this paper, a Hybrid Cellular Automaton (HCA) algorithm has been utilized to develop an efficient methodology for synthesizing structures under a dynamic loading event. This method utilizes the cellular automata computing paradigm with the nonlinear transient finite element analysis. Previous work in topology optimization for structural design has concentrated on modeling assuming static loading conditions due to the complexities associated with dynamic loading. An HCA method has been…
In this paper, a Hybrid Cellular Automaton (HCA) algorithm has been utilized to develop an efficient methodology for synthesizing structures under a dynamic loading event. This method utilizes the cellular automata computing paradigm with the nonlinear transient finite element analysis. Previous work in topology optimization for structural design has concentrated on modeling assuming static loading conditions due to the complexities associated with dynamic loading. An HCA method has been developed to address more complicated cases that involve dynamic events, such as impacts and collisions. To illustrate this technology, a generic design domain that represents an automotive crush structure is presented to demonstrate the efficiency of the proposed methodology in synthesizing crashworthy, constant cross section structures. Influence of mass fraction on final topology and application of this methodology for multiple load cases is presented.
Other authorsSee publication -
An Inversemeasure- based Unilevel Architecture for Reliability-based Design Optimization
Journal of Structural and Multidisciplinary Optimization
Reliability-based design optimization (RBDO) is a methodology for finding optimized designs that are characterized with a low probability of failure. Primarily, RBDO consists of optimizing a merit function while satisfying reliability constraints. The reliability constraints are constraints on the probability of failure corresponding to each of the failure modes of the system or a single constraint on the system probability of failure, which is usually estimated by performing a reliability…
Reliability-based design optimization (RBDO) is a methodology for finding optimized designs that are characterized with a low probability of failure. Primarily, RBDO consists of optimizing a merit function while satisfying reliability constraints. The reliability constraints are constraints on the probability of failure corresponding to each of the failure modes of the system or a single constraint on the system probability of failure, which is usually estimated by performing a reliability analysis. Traditionally, RBDO have been formulated as a double-loop optimization problem. The upper level optimization loop generally involves optimizing a merit function subject to reliability constraints, and the lower level optimization loops compute the probabilities of failure corresponding to the failure modes that govern the system failure. This formulation is computationally intensive. Researchers have provided sequential strategies to address this issue, where the deterministic optimization and reliability analysis are decoupled, and the process is performed iteratively until convergence is achieved. These methods, though attractive in terms of obtaining a workable reliable design at considerably reduced computational costs, often lead to premature convergence and yield spurious optimal designs. In this paper, a novel unilevel formulation for RBDO is developed. In this formulation, the lower level optimization (evaluation of reliability constraints in the double-loop formulation) is replaced by its corresponding first-order Karush–Kuhn–Tucker (KKT) necessary optimality conditions at the upper level optimization. Such a replacement is computationally equivalent to solving the original nested optimization if the lower level optimization problem is solved by numerically satisfying the KKT conditions. It is shown through the use of test problems that the proposed formulation is numerically robust and computationally efficient compared to the existing approaches for RBDO.
Other authorsSee publication
Patents
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Crashworthiness Design Methodology Using a Hybrid Cellular Automata Algorithm for the Synthesis of Topologies for Structures Subject to Nonlinear Transient Loading
Issued US 8,880,380
Crashworthiness designing of a structure using a Hybrid Cellular Automata (HCA) algorithm where field states are computed using finite element analysis (FEA) and the material distribution of the structure is updated at each iteration using cellular automata method. The HCA algorithm optimizes the topology of the structures to achieve certain performance within the limits of various constraints applied to ensure crashworthiness of the structures. The HCA algorithm may also be applied to…
Crashworthiness designing of a structure using a Hybrid Cellular Automata (HCA) algorithm where field states are computed using finite element analysis (FEA) and the material distribution of the structure is updated at each iteration using cellular automata method. The HCA algorithm optimizes the topology of the structures to achieve certain performance within the limits of various constraints applied to ensure crashworthiness of the structures. The HCA algorithm may also be applied to designing of structures to be fabricated by an extrusion method having the same cross section along the direction of extrusion or stamped structures having thickness varying across the structure.
Other inventorsSee patent -
Multiple GM Internal Trade-Method-Secret
US 000
Multiple GM internal Trade-Method-Secret (TMS) awarded in recognition of innovative work in the area of optimization and CAE. TMS award is given to recognize GM internal patent-worthy work which are not processed through typical patent process that the company will like to protect as trade-secret.
Honors & Awards
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"Boss" Kettering Award
General Motors Company
The "Boss" Kettering awards are GM's highest internal recognition for technical innovation. The award is named for GM's Charles F. "Boss" Kettering, the first head of GM's Research and Development Laboratories and the originator of more than 140 patents. General Motors created the "Boss" Kettering award in 1976, on Charles F. Kettering's 100th birthday to recognize GM researchers, scientists and engineers for bold new ideas and contributions. The awards honor individuals from every region of…
The "Boss" Kettering awards are GM's highest internal recognition for technical innovation. The award is named for GM's Charles F. "Boss" Kettering, the first head of GM's Research and Development Laboratories and the originator of more than 140 patents. General Motors created the "Boss" Kettering award in 1976, on Charles F. Kettering's 100th birthday to recognize GM researchers, scientists and engineers for bold new ideas and contributions. The awards honor individuals from every region of the globe whose outstanding inventions and innovations have demonstrated technological leadership and identifiable benefit to General Motors during the previous year.
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2019 Die Casting Award: Aluminum Die Casting - Structural / High Integrity
NADCA (North American Die Casting Association)
Design and Optimization of an Engine mount bracket that was originally designed as an A380 casting. We were able to reduce the mass of the A380 part by 40% by revising the design to a 6061 forging. Resulting forging would have cost 70% more than the casting but the shape was too complex to forge. By utilizing squeeze cast A345 the team was able to maintain the 40% mass reduction, cast the complex shape and avoid the entire 70% cost increase.
For the last 45 years NADCA has sponsored its…Design and Optimization of an Engine mount bracket that was originally designed as an A380 casting. We were able to reduce the mass of the A380 part by 40% by revising the design to a 6061 forging. Resulting forging would have cost 70% more than the casting but the shape was too complex to forge. By utilizing squeeze cast A345 the team was able to maintain the 40% mass reduction, cast the complex shape and avoid the entire 70% cost increase.
For the last 45 years NADCA has sponsored its International Die Casting Design Competition to showcase outstanding die cast designs while acknowledging the continuous contribution die casters provide to the manufacturing industry. High pressure die casting has many advantages over other manufacturing processes. It’s fast, highly repeatable, forms complex geometries, and produces parts with thinner walls. These advantages make die casting the process of choice for many different end markets. The winners of the 2019 International Die Casting Competition not only exhibit the different markets that die castings are used in, but also the versatility they have in die casting’s largest end market: automotive. These castings highlight the advantage of die casting over other manufacturing processes.
https://www.diecasting.org/wcm/Die_Casting/Marketing/Casting_Award_Winners/wcm/Die_Casting/Database_of_Castings.aspx?hkey=f3f5c4a8-0a3e-4c6d-98fc-4a4a71779ac7 -
teamGM Transformer Award
General Motors Company
GM internal award for initiative that helped to transform GM or allowed GM to win in the marketplace
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Multiple teamGM recognition
General Motors
Multiple teamGM Recognition in recognition of outstanding contribution to the General Motors' vision!
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teamGM Transformer Award
General Motors Company
GM internal award for initiative that helped to transform GM or allowed GM to win in the marketplace
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Tau Beta Pi
Tau Beta Pi Honor Society
The Tau Beta Pi Association (commonly Tau Beta Pi, ΤΒΠ, or TBP) is the oldest engineering honor society in the United States and the second oldest collegiate honor society in America. It honors engineering students who have shown a history of academic achievement as well as a commitment to personal and professional integrity. Specifically, the association was founded "to mark in a fitting manner those who have conferred honor upon their Alma Mater by distinguished scholarship and exemplary…
The Tau Beta Pi Association (commonly Tau Beta Pi, ΤΒΠ, or TBP) is the oldest engineering honor society in the United States and the second oldest collegiate honor society in America. It honors engineering students who have shown a history of academic achievement as well as a commitment to personal and professional integrity. Specifically, the association was founded "to mark in a fitting manner those who have conferred honor upon their Alma Mater by distinguished scholarship and exemplary character as students in engineering, or by their attainments as alumni in the field of engineering, and to foster a spirit of liberal culture in engineering colleges."
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Winner of Engineering Division
University of Notre Dame
Graduate research Symposium 2008 at Notre Dame.
Languages
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English
Full professional proficiency
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Hindi
Full professional proficiency
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Assamese
Native or bilingual proficiency
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Bengali
Limited working proficiency
Organizations
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Society of Automotive Engineers (SAE) World Congress
Program Committee Member for Design Optimization Session
- Present
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