Akshay Deolia

Paper #28 Excited to share our latest article in CASE STUDIES IN THERMAL ENGINEERING (Elsevier). Delve into the insights on "Thermal performance enhancement of laminar flow using compound twisted square duct and variable pitch twisted tape inserts." Article Link: https://lnkd.in/gtB5VdG4

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Check out our latest article, published in the Journal of Materials Processing Technology: https://lnkd.in/gu4spVrr Led by PhD student Sajad Hosseinimehr and Prof. Adam Thomas Clare, and in collaboration with the folks from Rapidia, we investigated the effect of deposition strategy on the porosity and mechanical properties for extrusion based additive manufacturing of 316 stainless steel. There’s some really great images in the paper that track the evolution of pores from the green to sintered state using CT data! #additivemanufacturing #3dprinting #advancedmanufacturing #manufacturing #materialsscience #materialsengineering #metallurgy #research #innovation #researchanddevelopment

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I am thrilled to announce that my review paper titled "Revolutionizing sheet metal stamping through industry 5.0 digital twins: a comprehensive review" has been published in the Journal of Intelligent Manufacturing. In this paper, a detailed overview of true digital twins and their applications within the manufacturing industry are presented. The relationship between digital twins and Industry 5.0 is also elaborated on as well. Specifically, the efforts towards establishing a sheet metal stamping digital twin are explored. Special thanks to my co-authors for contributing their knowledge and expertise, which were instrumental in making this paper possible. The full paper can be accessed here: https://lnkd.in/eeH4uQTv

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🔴 Struggling with problem-solving in engineering, physics, or math? ♟️ Here’s a powerful strategy to transform your textbook study sessions. When you tackle textbook problems with available solutions, don’t rush! Spending just 3-5 minutes before peeking at the solution may short-circuit your learning. Here’s why: Effective problem-solving requires building on fundamental principles rather than relying on matching problems to examples you’ve seen before. Instead: ↳ Take the time to explore each problem from first principles. ↳ Study examples to understand the underlying concepts and applications, and then set them aside. Avoid trying to match your problem to an example—this is about building a deeper understanding, not just finding similar cases. ↳ Approach each problem as a unique challenge, staying with it longer before seeking answers. This lets you apply principles independently and strengthens critical thinking skills. This approach demands patience and focus, but it’s the foundation for mastering engineering, physics, and math at a high level. This strategy will lead to deep, focused learning and understanding! Good luck! 🍀 If you found this useful, consider sharing ♻️, and leave your thoughts in the comments below. Thanks!

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Worried about adverse events in your robotic control applications?? Check out this great work from Meenakshi Narayan using principles from model free control!

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🤖 Exciting news in the world of robotics! Our team has recently published a comprehensive review on advancements in soft robotics in the journal "Polymers" titled "Advancements in Soft Robotics: A Comprehensive Review on Actuation Methods, Materials, and Applications". The review covers various actuation methods, innovative materials, and practical applications, ranging from medical devices to agricultural automation. 🔬 Key highlights include the diversity of actuating methods, such as humidity, temperature, electricity, and more. We also explore cutting-edge materials like hydrogels and shape-memory polymers. These materials, combined with the versatility of soft robotics, enable applications in complex and changing environments. 💡 Our review lays the groundwork for future innovations in the field, addressing technical challenges and enhancing functionality. 🚀 We are excited to be a part of this rapidly evolving field and to continue pushing the boundaries of soft robotics.

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I am currently serving as a Guest Editor for a special issue on "Advanced Materials Joining and Manufacturing Techniques" in the journal Materials MDPI along with Dr. Xiaoye Zhao. I would greatly appreciate your consideration in submitting an article to this special issue. If there are any questions, please feel free to message me. Some of the benefits in publishing in this special issue and journal include: 1. Open access journal of materials science; 2. High visibility—indexed by SCIE, EI, and Scopus; 3. Impact factor of 3.4 (2022) and CiteScore of 5.2 (2023); 4. A first decision is provided to authors approximately 15 days after submission, following a peer-review process. #welding #brazing #joining #additivemanufacturing #3dprinting #advancedmanufacturing #manufacturing #materialsscience #materialsengineering #metallurgy

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Lunar, space or separated manufacturing environments perspectives ❕ New papers regarding lunar or space manufacturing are published by research centers. Although it is probably more theoretical analysis based on well-known physical, ethical, environmental and similar facts than experimental setup, we should follow that ideas for the future manufacturing engieering advancements. Manufacturing environments located in separated areas may have great potential for green and human-centered manufacturing if logistics and transport issues are solved. That may play a key role in the next eras of manufacturing that will improve nowadays developments linked to ideas proposed by the Industry 4.0 and 5.0 enthusiasts. I would like to point out several issues which, in my opinion, play the crucial role: 1. Financial aspects linked to transport of materials and resources for well-known, earth-based manufacturing scenarios. 2. Developing the new technologies using resources and raw materials in such separated or space manufacturing areas. 3. Automation and maintenance issues due to the limited or no staff. 4. Exploitation issues connected to unknown environmental and physical conditions. 5. Delivery and transport of the final products. I have also asked the AI GPT by openai.com what it thinks about lunar manufacturing: My question: What do you think about lunar or space manufacturing or manufacturing in separated areas on the earth? ChatGPT answer: Manufacturing in space, on the Moon, or in isolated regions on Earth presents a variety of intriguing possibilities and challenges that can significantly impact our technological and scientific capabilities. 1. Space Manufacturing: Advantages: Manufacturing in space can offer unique conditions not available on Earth, such as microgravity and extreme vacuum. These conditions can lead to the production of purer materials, better-quality crystals for electronics and pharmaceuticals, and new alloys or substances that could be difficult or impossible to make on Earth. Challenges: The cost of transporting materials to space is still prohibitively high, and the current infrastructure for manufacturing in orbit is minimal. Additionally, operating in such an environment poses significant technical challenges, including the need for autonomous or remote-controlled systems to manage production. 2. Lunar Manufacturing: Advantages: The Moon offers potential for utilizing local materials (like regolith) to build structures or to produce essential supplies for a sustained human presence, reducing the need for costly transportation from Earth. The low gravity well of the Moon also makes it a strategic location for launching materials to other parts of the solar system. Challenges: Similar to space, the extreme environmental conditions (such as temperature extremes and lack of atmosphere) complicate the manufacturing processes. Technologies for extracting and processing lunar materials are still in developmental stages.

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A newly accepted article on the topic of "Machine learning for fatigue lifetime predictions in 3D-printed Polylactic acid biomaterials based on Interpretable extreme gradient boosting model" with Dr. Hamid Nasiri and Mr. Ali Dadashi in the journal of Materials Today Communications, in Elsevier. #machinelearning #fatigue #lifetime #prediction #3dprint #polylacticacid #PLA #biomaterials #interpretableextremegradientboosting #boosting Link: https://lnkd.in/gmpebNMf

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I am excited to share that our recently accepted paper in the International Journal of Automotive Technology is published online. Our study, titled "Improvement of De‐NOx Performance of a SCR System by Dual‐Point Ammonia Injection in a Diesel Engine," delves into the applicability of dual ammonia injection to increase the DeNOx performance of diesel engine’s after-treatment systems. The full length article can be accessed using the following link. https://lnkd.in/gjGaQ-7y

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🚀 Excited to Announce My Latest Publication! 📄 I'm thrilled to share my latest research on "Thermo-mechanical characterization of pinless friction stir welding in AA6060-T4 thin sheets" that has just been published in the Welding International journal. In this study, we dive into the less explored territory of pinless Friction Stir Welding (FSW), particularly for AA6060-T4 aluminum thin sheets. We examined how different welding parameters affect the mechanical properties and thermal distribution, yielding valuable insights for optimizing weld quality in industrial applications. 🔑 Key Insights: Pinless FSW offers superior weld quality but requires precise control of welding parameters. Higher rotation speeds correlate with lower maximum temperatures. Optimal parameters achieved efficiency coefficients up to 84%. Significant findings in microhardness profiles, particularly in the Thermo-Mechanically Affected Zone (TMAZ). Check out the full paper here: https://lnkd.in/ev7kDBeF #Research #Welding #MaterialsScience #FrictionStirWelding #AA6060T4 #Engineering #Manufacturing

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Interesting article about Generative AI! Subscribe to Rishabh Yadav's blog for many more!

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A new article on "Integrated modeling to control vaporization-induced composition change during additive manufacturing of nickel-based superalloys" by Tuhin Mukherjee (Iowa State University Mechanical Engineering), Junji Shinjo (Shimane University), T. DebRoy (Penn State University), and Chinnapat Panwisawas (Queen Mary University of London) is published in NPJ Computational Materials (Springer Nature). The article is available at: https://lnkd.in/gxhN5m7G A critical issue in laser powder bed fusion (LPBF) additive manufacturing is the selective vaporization of alloying elements resulting in poor mechanical properties and corrosion resistance of parts. The process also alters the part's chemical composition compared to the feedstock. Here we present a novel multi-physics modeling framework, integrating heat and fluid flow simulations, thermodynamic calculations, and evaporation modeling to estimate and control the composition change during LPBF of nickel-based superalloys. Experimental validation confirms the accuracy of our model. Moreover, we quantify the relative vulnerabilities of different nickel-based superalloys to composition change quantitatively and we examine the effect of remelting due to the layer-by-layer deposition during the LPBF process. Spatial variations in evaporative flux and compositions for each element were determined, providing valuable insights into the LPBF process and product attributes. The results of this study can be used to optimize the LPBF process parameters such as laser power, scanning speed, and powder layer thickness to ensure the production of high-quality components with desired chemical compositions. #additivemanufacturing #3dprinting #metallurgy #modeling #simulation #mechanicalengineering #materials #materialsengineering #nature

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I am thrilled to announce the publication of my latest paper, "Mathematical Modeling of Flexible Printed Circuit Configuration: A Study in Deformation and Optimization," in Scientific Reports. https://lnkd.in/gKyrcN3R This manuscript delves deep into the world of Flexible Printed Circuits (FPCs), tackling two significant challenges: Preventing contact with nearby components. Adhering to predefined curvature constraints. Our research presents a robust model that accurately predicts FPC deformation under various conditions, focusing on configurations such as bell, 'U', and 'S' shapes. By strategically optimizing FPC spatial arrangements, we aim to avoid mechanical interference and control curvature, thereby reducing mechanical strain. This dual-faceted approach is crucial for enhancing the durability and reliability of FPCs, especially in applications requiring high flexibility and precision. Key highlights: Thorough analysis of FPC configurations and deformation. Strategic optimization to mitigate mechanical strain. Insights into improving FPC design for contemporary electronics. I believe our findings offer essential insights and a comprehensive framework for the design and implementation of FPCs, significantly advancing the field of modern electronics. 🔗 Read the full paper here: Mathematical Modeling of Flexible Printed Circuit Configuration: A Study in Deformation and Optimization I invite fellow researchers and industry professionals to read and cite our work. Your feedback and insights would be greatly appreciated! #Research #Electronics #FlexibleCircuits #FPC #ScientificReports #Innovation #Engineering #Optimization

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🎉 Exciting News! 🎉 I'm thrilled to announce the successful completion of a thermal stress analysis project for a dual mount! 🚀 Our team tackled the intricate dynamics of thermal stress within the mount, ensuring robust performance under varying temperature conditions. It's a testament to our dedication to precision engineering and advanced simulation techniques. Here are the solver parameters we employed in Fusion 360 for this groundbreaking project: 1.Solver Type:We utilized the advanced nonlinear solver in Fusion 360 to accurately capture the complex behavior of materials under thermal stress.    2. Mesh Density: Achieving reliable results requires an optimal mesh density. We carefully adjusted mesh parameters to strike a balance between accuracy and computational efficiency. 3. Material Properties:Accurate material data is crucial for precise simulation outcomes. We meticulously inputted the material properties of all components involved in the dual mount system. 4. Boundary Conditions: Properly defining boundary conditions ensures simulation accuracy. We meticulously applied thermal loads and constraints based on real-world operating conditions. 5. Convergence Criteria:To ensure solution stability, we set stringent convergence criteria for the solver, guaranteeing reliable results. 6. Analysis Parameters:We fine-tuned analysis parameters such as time step size and iteration settings to ensure robust simulation performance. This project exemplifies our commitment to innovation and excellence in engineering analysis. I'm immensely proud of our team's dedication and expertise that made this achievement possible. Here's to many more successful endeavors ahead! 🌟 #EngineeringExcellence #Simulation #Innovation #Fusion360 #ThermalAnalysis #EngineeringSimulation A special attributes to International Simulation Olympiad,Paanduv Applications,@Dr. Amit Kumar Thakur Sir For Inspiring me to Attain Greater heights and to do more in the field of finite elemnt analysis and cfd...

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I'm excited to share our recent publication, "Precision Micro-Particle Removal from Through-Holes via Laser-Induced Plasma Shockwaves in Additive Manufacturing." This study presents a novel Laser-Induced Plasma (LIP) technique designed for non-contact, rapid cleaning of intricate through-holes in additive manufacturing (AM) components, which is crucial for industries like aerospace, medical devices, and compact heat exchangers. We explored the use of shockwaves generated by LIP to remove particles from complex geometries, achieving up to 100% removal of particles larger than 27 μm after a single pulse within a range of 10mm. Our research demonstrates the potential of LIP for improving the cleanliness, safety, and reliability of AM builds, making it a promising solution for high-value applications. I would like to extend my sincere gratitude to my team members and mentors, Prof. Cetinkaya, Tipu Sultan, and Enamul Hasan Rozin, for their guidance and support throughout this project. It was an incredible experience working alongside them, and I deeply appreciate their invaluable contributions. Link to the article: https://lnkd.in/eYjN2v53

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I am excited to share that our research paper titled "Experimental Study on Flow Boiling of Two Rectangular Expanding Microchannel Heat Sinks in Series Connection and Flow Patterns Analysis" has been published in the prestigious journal, International Communications in Heat and Mass Transfer (Q1, IF=7). The paper is now available online.

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Viscoelasticity is essential for modeling the dynamic responses in many flexible multibody systems. Accurate representation of viscoelastic materials is crucial across engineering disciplines, and Burger's model, which combines Hooke's and Newton's elements, remains a popular choice among engineers in various applications. However, challenges persist, including the model’s limited accuracy in fitting the master curve due to “waveform” behavior. Can we improve Burger's model for better predictions? How feasible is its implementation in FE packages? Would incorporating additional parameters from laboratory data make predictions more reliable? To address these questions, we are excited to present our latest paper, "Frequency Range Optimization for Linear Viscoelastic Characterization of Burger's Model," published in the International Journal of Mechanical Sciences (IJMS) (IF: 7.1), one of the top journals in the field. Link: https://lnkd.in/eJrgGSVn During the rigorous review process, we received valuable, in-depth feedback from reviewers and the editor (nearly 100!)—thank you all for your contributions to improving the quality of this work. If you’re interested in incorporating this model into your research, please check out the downloadable mathematical supplement provided at the end of the paper. Grateful to my co-authors Sandra Erkens, Cor Kasbergen, and especially to our PhD candidate Chen Wang for his hard work and dedication to this research. #EngineeringResearch #Viscoelasticity #BurgersModel #PavementEngineering #MechanicalEngineering #FiniteElementAnalysis

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I'm excited to share the latest article from our group, authored by Shahzad Yousaf, myself, Rushikesh Kamalapurkar and Omer San. In the paper titled "A gray-box model for unitary air conditioners developed with symbolic regression" we present a new model for use in building energy modeling (BEM, e.g. Energy Plus), building controls, or equipment mapping purposes. The model uses the same inputs as typical equipment models in BEM and can be trained with as little as 5 experimental data points, which is a major advantage compared to statical models. This link will provide free access to the article until Dec. 8, 2024:

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