Projects

Coupled Infusion-Curing Tool-Kit for Liquid Composite Molding

• The aim of this project is to develop a fundamental study on an integrated infusion-cure simulation toolkit to guide the design of optimal composite manufacturing procedures with minimized processing-induced defects while reducing trial-and-error testing on expensive physical prototyping.

The tool will be used to

• • Understand the physics associated with each process;

  • Determine root causes of processing induced defects;

  • Integrate physics-based processing models with sensor data for process optimization;

  • Validate the integrated processing–performance toolkit; and

  • Explore optimal processing conditions and procedures for improved structural performance.

Skills Learnt and Used

• Liquid Composite Molding, Vacuum Assisted Resin Transfer Molding, Infusion and Curing Simulations, In-situ Monitoring, Process Optimization

Accomplishments

• Li, X., Lua, J., Elenchezhian, M., Enos, R.S. and Zhang, D., 2022. A Multiphysics Coupling of Resin Infusion and Deformation of Fiber Preform Using Customized STAR-CCM+ and ABAQUS. In AIAA SCITECH 2022 Forum (p. 1419). https://doi.org/10.2514/6.2022-1419

• Elenchezhian, Muthu., Enos, Ryan., Martin, Noah., Sen, Suruchi., Zhang, Dianyun., Pantelelis, Nikos., (2022). “CURE PROCESS MODELING AND CHARACTERIZATION OF COMPOSITES USING IN-SITU DIELECTRIC AND FIBER OPTIC SENSOR MONITORING ”. Proceedings of CAMX 2022

• Shrestha, K., Enos, R., Li, X., Wei, Q., Elenchezhian, M., Zhang, D., Lua, J., (2022). “Integrated Flow and Stress Modeling for Infusion and Curing Process in Liquid Composite Molding”. Proceedings of American Society of Composites Conference 2022

Damage Tolerance and Durability of Composites using Artificial Intelligence

• The primary objective of this research is to use reliable state of the art sensor technologies which includes dielectric sensor and fiber optics, for integrated SHM/ CBM to collect data defining the material state and hence predict the damage mode, remaining strength and life of the material.

Skills Learnt and Used

• Composites Fabrication, Mechanical Testing, Di-Electric Characterization, Fiber Optic Sensing, Artificial Intelligence, Machine Learning, Neural Networks

Accomplishments

• Elenchezhian, M.R.P., Das, P.P., Rahman, M., Vadlamudi, V., Raihan, R., Reifsnider, K., Stiffness Degradation in Fatigue Life of Composites using Dielectric State Variables, Composite Structures (2021), doi: https://doi.org/10.1016/j.compstruct.2021.114272

• Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., Reifsnider, K., & Reifsnider, E. (2021). Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties–a review. Smart Materials and Structures. https://doi.org/10.1088/1361-665X/ac099f

• Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., & Reifsnider, K. (2021). "Data-Driven Discovery of Material States in Composites Under Fatigue Loads." Proceedings of American Society for Composites. —Thirty-sixth Technical Conference.

• Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., & Reifsnider, K. (2020, September). Unsupervised Learning Methods for Identification of Defects in Heterogeneous Materials. Proceedings of the American Society for Composites—Thirty-fifth Technical Conference.

• Elenchezhian, M. R. P., Vadlamudi, V., Md Raihan, R., & Reifsnider, K. (2019). “Damage Precursor Identification in Composite Laminates using Data Driven Approach”. In AIAA Scitech 2019 Forum (p. 0401).

• Elenchezhian, M., Raihan R., Reifsnider, K., “The role of uncertainty in machine learning as an element of control for material systems and structures” Proceedings of the ASME 2018 Pressure Vessels and Piping Conference PVP2018

• Elenchezhian, M., Vadlamudi, V., Raihan, R., Reifsnider, K., “Data Driven Composites: The Challenge and Path Forward”, Proceedings of CAMX 2018

• Elenchezhian, M., Nandini, A., Vadlamudi, V., Raihan, R., Reifsnider, K., “Detection and Prediction of Defects in Composite materials using Di-Electric Characterization and Neural Networks”, Proceedings of SAMPE 2018

Prediction of Failure Events in Heterogeneous Materials using Broadband Dielectric Spectroscopy

• Determination of material state is the baseline foundation for the assessment and prognosis of current and future performance of structural materials in which distributed damage leads to progressive property degradation

• It can be difficult to find all of the defects in as-manufactured composites or (especially) to assess their growth and interaction during real-time service, and to conduct the proper analysis of their collective effect on strength and life as a function of real-time load and environmental history of a given structure

• Global state variables are well suited to this challenge, but finding suitable measurables and methods is the challenge of this research work

Skills Learnt and Used

• Damage Mechanics in Composites, Mechanical - Static and Fatigue Testing, Dielectric Characterization

Accomplishments

• Vadlamudi, V., Elenchezhian, M. R. P., Das, P. P., Raihan, R., & Reifsnider, K. (2020, September). Assessment of Material State for Predicting the Durability of Composites. Proceedings of the American Society for Composites—Thirty-fifth Technical Conference.

• Vadlamudi, V., Elenchezhian, M. R. P., Shaik, R. A., Nandini, A., Raihan, R., Reifsnider, K., & Iarve, E. (2018). Global Prediction of Discrete Local Damage Interactions Using Broadband Dielectric Spectroscopy. Proceedings of the American Society for Composites—Thirty-third Technical Conference.

• Reifsnider, K., Raihan, R., Vadlamudi,V., Elenchezhian, M., “State Variable Methods of Assessment, Prognosis and Control of Composite and Bonded Structures” , Proceedings of the American Society for Composites—Thirty-third Technical Conference. (2018)

• Chahal, R., Adnan, A., Reifsnider, K., Raihan R., Wu, Y.T., Vadlamudi, V., Elenchezhian, M.,“Molecular Dynamics for the Prediction of the Interfacial Shear Stress and Interface Dielectric Properties of Carbon Fiber Epoxy Composites”, Proceedings of the American Society for Composites—Thirty-third Technical Conference. (2018)

• Vadlamudi, V., Raihan, R., Elenchezhian, M., Banerjee, P., Dave, C., Mahmood, A.,Reifsnider, K., “Study of Defect Coalescence in Heterogeneous Material Systems using Broad Band Dielectric Spectroscopy”, Proceedings of ASC2017

Quality and Strength of Adhesive Bonds

• Detection of durability of bonded joints.

• Non-destructive evaluation of bond strength.

• Performance of adhesive bonds

• Better quality checks in manufacture process

Skills Learnt and Used

• Fabrication of Adhesive Bonds, Surface Preparation, Dielectric Characterization, Mechanical Testing

Accomplishments

• Reifsnider, K.L., Raihan, M.R., Elenchezhian, M.R.P., Banerjee, P.K., Dave, C. and Vadlamudi, V., University of Texas System, 2018. Systems and Methods for Assessing the Quality of Adhesive Bonds. U.S. Patent Application 15/989,541

• Rahman, M., Kola, G., Rabby, M. M., Elenchezhian, M. R. P., Qhobosheane, R. G., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2021). "Effects of Surface Characteristics on Mechanical and Dielectric Properties of Adhesively Bonded Carbon Fiber Composites". Proceedings of American Society for Composites. —Thirty-sixth Technical Conference.

• Raihan, R., Elenchezhian, M. R. P., & Vadlamudi, V. (2020). Durability of bonded composite systems. In Durability of Composite Systems (pp. 383-401). Woodhead Publishing.

• Elenchezhian, M., Vadlamudi, V., Banerjee, P., Dave, C., Mahmood, A., Raihan, R., Reifsnider, K., “Quality Assessment of Adhesive Bond Based on Dielectric Properties”,Proceedings of SAMPE (2017)

• Banerjee, P., Elenchezhian, M., Shute, N., Vadlamudi, V., Raihan, R., Reifsnider, K.,“Predicting the Adhesive Bond Performance Based on Initial Dielectric Properties”, Proceedings of ASC2017

Electro-spinning of Nano-fiber mat

• Fabricated Nano-fiber Mats using the electro spinning technique and embedded them in the composite specimens

• Evaluated the variation of Impedance during quasi-static tests on these specimens

Skills Learnt and Used

• Electro spinning, Nano-fiber Mats

Accomplishments

• Mazed, R. J., Elenchezhian, M. R. P., Vadlamudi, V., Ahmed, M.R.U., Raihan, R., & Reifsnider, K. (2020). Performance Enhancement and Prediction of Composite Materials with Embedded Electrospun Piezoelectric Sensors. Proceedings of SAMPE 2020

SHM of Composites using Wireless Sensors

• Magnetostrictive sensors were embedded in composite specimens

• An excited planar coil placed close to the surface, sends and receive the actuation signals which captures the local strain in the material

Skills Learnt and Used

• Structural Health Monitoring ; Magnetostrictive sensors ; Mechanical testing

Accomplishments

• Qhobosheane, R. G., Elenchezhian, M. R. P., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2021). "Ordinary Differential Equations with Machine Learning for Prediction of Smart Composite Fracture Toughness". Proceedings of American Society for Composites. —Thirty-sixth Technical Conference.

• Qhobosheane, R.G.; Elenchezhian, M.R.P.; Das, P.P.; Rahman, M.; Rabby, M.M.; Vadlamudi, V.; Reifsnider, K.; Raihan, R. Smart Self-Sensing Composite: Piezoelectric and Magnetostrictive FEA Modeling and Experimental Characterization Using Wireless Detection Systems. Sensors 2020, 20, 6906.

• Qhobosheane, R. G., Islam, S., Elenchezhian, M.R.P., Vadlamudi, V., Raihan, R., Reifsnider, R., & Shen, W. (2019). “Design of Embedded Wireless Sensors for Real-Time and In-Situ Strain Sensing of Fiber Reinforced Composites”. Structural Health Monitoring 2019.

• Islam, S., Qhobosheane, R. G., Elenchezhian, M. R. P., Vadlamudi, V., Raihan, R., Reifsnider, K., & Shen, W. (2019). “Structural Health Monitoring of Fiber-Reinforced Composite Using Wireless Magnetostrictive Sensors”, Proceedings of SAMPE 2019

Shelf Life of Composite Pre-Preg

• Research on the effects of the degradation of prepreg at room temperature for extended periods of time and analyzed their dielectric properties

• Established a relationship between the dielectric properties of pre-manufactured prepreg and the mechanical strength of final manufactured composite

Skills Learnt and Used

• Composite Manufacturing, Dielectric and Mechanical Characterization, Polymer Chemistry

Accomplishments

• Rabby, M. M., Rahman, M., Das, P. P., Elenchezhian, M. R. P., Qhobosheane, R. G., Vadlamudi, V., Reifsnider, K., & Raihan, R. (2021). "The Effect of Room-Temperature Aging on Enthalpy and Dielectric Property of Carbon-Fiber/Epoxy Composite Prepreg and the Mechanical Property of Manufactured Composite". SAMPE neXus Proceedings

• Nandini, A., Shute, N., Elenchezhian, M., Vadlamudi, V., Raihan, R., Reifsnider, K.,“Dielectric property investigation of degraded pre-preg and performance prediction of the final composite part”, Proceedings of SAMPE 2018

Dielectric and Mechanical Characterization of Additive Manufactured Parts

• Investigated the effect of Build Parameters and their effects on the mechanical and electrical properties of the additively manufactured heterogeneous material system

Skills Learnt and Used

• Additive Manufacturing, Fused Deposition Modelling, Design of Experiments, Mechanical Testing, Dielectric Characterization

Accomplishments

• Munaganuru, S., Elenchezhian, M., Vadlamudi, V., Shaik, R., Adluru, H., Raihan, R., Reifsnider, K., “Effects of Build Parameters on the Mechanical and Di-Electrical Properties of AM parts”, Proceedings of the 29th Annual International 2018 Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference

Estimation of Thermal deflection of the Laminate under the Thermal Distortion using Finite Element Method

• The thermal deflection temperature or the distortion temperature is defined as the temperature at which the polymer or the plastic deforms under a specified load. This project work consists of a [ 45/-45/0 ]T Laminate under a temperature environment. The Thermal deflection of the Laminate is Analyzed using the ANSYS software by Finite Element Method and it is also validated by using the Classical Lamination Theory – Analytical Methods using MATLAB.

Skills Learnt and Used

MATLAB ; ANSYS - APDL ; Composites Theory

Manufacturing of Composite Structures and Repair

• This Project work was done with the objective to learn, understand and have hands on experience on manufacturing a composite laminate and fabricated it using the vacuum bag in a autoclave molding system and to introduce inter laminar defects in the laminate. Non-Destructive tests as well as axial tensile tests were conducted to determine the mechanical properties of the laminate and it was also verified with the analytical values. Repair operations were performed on the test panel and axial tensile test were conducted on repaired specimens to compare it with the non-repaired specimen.

Skills Learnt and Used

Composites Fabrication using Autoclave ; Non-Destructive Testing - CT Scans UT Scans ; Mechanical Testing ; Bonding and Repair of Composites

Aircraft Conflict Prediction

• This Project deals with the Prediction of conflicts between two aircrafts. During flight, the aircrafts have to maintain safety. In terms of air traffic control, this means that aircraft has to maintain a minimum separation between each other during the flight. Any violation of this minimum separation is defined as a conflict. In this Project, two aircrafts in flight are considered. The trajectory of one aircraft (Tanker) is considered to be fixed. The Position of the other aircraft (Receiver) for a given look ahead time with respect to the fixed trajectory aircraft is been determined. For Simplification, the wind effect is neglected in this problem. Two Cases are solved. In the First Case, The Receiver aircraft goes away from tanker, and in the second case Receiver aircraft goes towards the tanker and hence a conflict is occurred. These are obtained by developing an algorithm by using the set of non-linear, 6-DOF, rigid body equations of motion and by implementing them into Simulink model.

Skills Learnt and Used

Advanced Flight Mechanics ; MATLAB - Simulink

Product Development and Analysis, CADD Center, Coimbatore

• Designed Fast and Loose Pulleys in Pro-E and CATIA

• Designed and Analyzed the flow properties, velocity distribution at the entrance and exit of a channel with butterfly valve in ANSYS

Skills Learnt and Used

CAD/CAM software's - Pro-E, CATIA, ANSYS, GD&T Analysis

Design Project on Turbofan Aircrafts used for Ambulance purposes

• As a part of the Aircraft Design Project Lab I and II , in the 6th and 7th semesters of my undergraduate degree , I worked with my team on literature survey, weight determination, as a process of the conceptual design phase. This design project lab helped us to learn the process of designing a aircraft and on how to calculate the various parameters of aircraft.

Skills Learnt and Used

Conceptual Aircraft Design