G PEAVEEN KUMAR
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Scopus Publications
- Surface integrity and morphological evaluation of Al7075–ZrO₂ composites using Taguchi optimization
Y. Santhosh Kumar Reddy, G. Praveen Kumar, K. Mallikarjuna, A. V. Balan, T. R. Sathishkumar, K. P. Sampoornam
Interactions, 2026 - Prediction of limiting strains and fracture toughness of deep drawing quality steel using stretching and incremental forming processes
P. K. Gandla, A. Padamurthy, S. S. Kumar, S. Pandre, R. Naresh, P. R. Pati, A. Sheelwant, B. K. Potnuru
Materialwissenschaft Und Werkstofftechnik, 2026
Products made of sheet metal are widely used in aerospace, automotive, and architecture due to their lightweight, strength, and formability. However, unexpected fractures during forming pose a challenge. This research paper examines the fracture thresholds of deep drawing quality steel sheets by utilizing both forming limit diagrams and fracture forming limit diagrams, which were developed through stretching and incremental sheet forming. Oyane's damage model predicts theoretical fracture limits, aligning with experimental incremental sheet forming results within a 7.47 % error. Fracture toughness, measured via double notched tensile tests and incremental sheet forming, shows a strong correlation (R = 274.2 kJ/m 2 and R = 280.2 kJ/m 2 , respectively). Hemispherical cups were formed using single and multi‐stage incremental sheet forming, with multi‐stage strategies mitigating failures observed in single‐stage forming. In multi‐stage shaping, a novel theoretical model forecasts sheet thickness. Experimental testing and finite element simulations are conducted to analyze forming forces and deformation energy. Fractographic analysis confirms ductile failure, as evidenced by the presence of dimples and voids. - Emerging Trends and Future Prospects of Thermochemical Energy Storage Systems for Building Space and Water Heating Applications
Ankammarao Padamurthy, Praveen Kumar Gandla, Amar Sheelwant, Harinadh Vemanaboina, Prabhu Paramasivam, Abinet Gosaye Ayanie
International Journal of Energy Research, 2025
The thermal energy storage (TES) technology has gained so much popularity in recent years as a practical way to close the energy supply–demand gap. Due to its higher energy storage density and long‐term storage, thermochemical energy storage (TCES), one of the TES methods currently in use, seems to be a promising one. These potential advantages have triggered to undertake a decent amount of research investigations in the past few years. The present review paper summarizes the recent outcomes of TCES systems for building water and space heating applications and demonstrates the different kinds of systems and their configuration arrangements. The recently developed experimental as well as theoretical prototypes are looked over with respect to their arrangement (closed and open loop) and role of relevant operating conditions. Various kinds of reactor shapes are also summarized and presented. Critical issues like materials’ achievable heat storage density/capacity, stability/cyclability, charging temperature, and systems’ mass and heat transfer properties are discussed. This work also presents the current challenges and the possible suggestions to address them. This review suggests that additional research is necessary to determine the role of influencing parameters in the design and establishment of TCES prototypes for building’s water and space heating applications. - Denoising Diffusion Probabilistic Models with Federated Learning for Privacy-Preserving Wind Power Forecasting
Gummala Alekya, Kalaivani. K, Nagalakshmi M, Omeshwar D Verma, Ramkumar A, Praveen Kumar G
Proceedings of 2025 10th International Conference on Science Technology Engineering and Mathematics Iconstem 2025, 2025
Wind energy prediction plays a vital role in grid stability as well as efficient resource utilization and integrating renewable energy, but the traditional centralized solutions have privacy concerns and cannot work with a lot of SCADA data noise. In this paper, the authors seek to create a privacy-preserving, high-accuracy prediction model through a combination of Denoising Diffusion Probabilistic Models (DDPMs) with Federated Learning (FL). It has been not tried before because it can be used on sequential SCADA time-series to condition DDPMs, so that learning and the denoising and predicting step remain robust and do not need to learn many turbines or wind farms to share the raw data with the others. The suggested model preprocesses the SCADA measurements and conditions them temporarily, trains DDPMs at different clients and protects them, and assembles them to create a global model. It has been found that experiments predict with a 98 percent accuracy, the highest of any other classical models, like LSTM, ARIMA and CNN; as well as noise resilience and privacy of information. This work concludes that federated DDPM is an efficient, scalable, and secure technique to predict wind energy in decentralized energy systems. - Stretch flangeability analysis of heat treated dual phase steel alloy sheet
Praveen Kumar Gandla, Sandeep Pandre, Vamshi Sammeta, Satyanarayana Kosaraju
International Journal on Interactive Design and Manufacturing, 2024 - Wear and Frictional Performance of Epoxy Composites Reinforced with Natural Waste Fibers and Fillers for Engineering Applications
S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati, Praveen Kumar Gandla
Fibers and Polymers, 2024 - Analysis of forming characteristics for dual phase steel under warm incremental forming process
Sandeep Pandre, Gandla Praveen Kumar, Nitin Kotkunde, Kurra Suresh, Swadesh Kumar Singh
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2024
The demand for rapid prototyping techniques has been increasing in the field of automotive for the manufacturing of various parts with dissimilar shapes. In the present work, experimental and numerical investigations have been performed on an automotive-grade DP steel using an incremental sheet forming process at Room Temperature (RT) and 400°C. Various formability parameters such as fracture forming limits, limiting wall angle, forming forces, thickness distribution, and geometrical accuracy have been analysed. The fracture limits of the material are evaluated by forming varying wall angled conical (VWACF), and pyramidal (VWAPF) frustums. The fracture limits of the material formed at 400°C have been found to be 14.06% higher compared to room temperature fracture limits. The limiting wall angles for VWACF and VWAPF are found to be 70.73° ± 1.41° and 67.97° ± 1.35°, which are also higher than the formed constant wall angled frustum. The forming forces measured from experimental and FE simulations are in good agreement with the predicted forming forces from Arene’s equation. The minimum thickness obtained from experimental and FE simulations are in good agreement with each other with an absolute error of less than 4.5% and 7% for VWACF and VWAPF. - Production of power and fresh water using renewable energy with thermal energy storage based on fire hawk optimization
P. Rajesh, Praveen Kumar Gandla, D.S. Robinson Smart, Sunil Vasant Prayagi
Intelligent Decision Technologies, 2024
This manuscript proposes an optimization method for power production and fresh-water using renewable sources with thermal energy storage (TES). The proposed method is the fire hawk optimization (FHO) method. The objective of the proposed method is to find better thermal efficiency. The waste heat in the steam power plant is converted to fresh water using the multi-effect desalination method. The cost of freshwater strongly depends on solar-electricity cost and displays a significant variation because of the variable solar availability state. The integrated structure using thermodynamics is examined by Exergy analysis. Heat exchangers and collectors are related to the energy efficiency of the total integrated structure and the equipment’s highest share of energy destruction. The FHO method is implemented in MATLAB and its execution is calculated with existing approaches. The thermal efficiency in solar collectors is 80% and it is better than existing methods. - Microstructure, wear and residual stresses of selective laser melting AlSi10Mg solid cylinder
Harinadh Vemanaboina, Ankammarao Padamurthy, Praveen Kumar Gandla, Lakshman Rao Muppa, Koyyagura Lakshmi Kala
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2024
Advanced industrial processing technique selective laser melting (SLM) can handle various materials. Although titanium alloys are the main material used in SLM, aluminium alloys may be employed in the future. However, producing aluminium alloys is more complicated. This work uses SLM to make an AlSi10Mg solid cylinder. The aim is to study the mechanical properties and microstructure of products. Layer thickness increases defects; thus, research advises avoiding it. The optical microscope study proved the conduction melting process's stability and hole-freeness. EDX mapping and SEM were used to compare the chemical makeup of as-cast and SLM materials. An unusual microstructure showed consistent alloying component distribution. Investigations examine wear, hardness and residual stresses. Extreme hardness was found. The component has evenly distributed compressive residual stresses within material yield limits. - Analysis of Deep Drawing Quality Steel Using Incremental Hole Flanging with Different Pre-Cut Hole Diameters
G. Praveen Kumar, Din Bandhu, Ravi Kumar Mandava, Balaji Krushna Potnuru, S. Abdul Azeez
Analysis and Optimization of Sheet Metal Forming Processes, 2024
Sheet metal may be formed without the use of punches with the incremental hole flanging (IHF) process. This investigation employed experimental methods and finite element (FE) analysis to better comprehend the complex IHF procedure. Deep drawing quality (DDQ) steel sheets with 45 mm, 50 mm, 60 mm, and 70 mm diameter holes were utilized. The wall angle was raised from 60° to 90° in four phases. Forming ratios ranged from 1.17 to 2.06. A 45 mm hole diameter blank fractured at 40 mm depth. Different frustum geometries were used to produce the fracture forming limit diagram (FFLD). In terms of ductile damage models, the Ayada model came closest to the experimental FFLD. The Ayada model and the fracture limit were implemented in FE simulations. Less than 6% inaccuracy was found in the predicted formability across all situations. Analysis of the texture showed three distinct types of deformation: plane strain, bi-axial stretching, and uniaxial tension. Surface roughness decreased with increasing IHF stages, regardless of the initial hole diameter. In conclusion, this study enhances understanding of the IHF process, formability limits, and prediction through experiments and FE analysis. - Evaluation of fracture limits of deep drawing quality steel using stretching, incremental forming and double-notched tensile tests
Praveen Kumar Gandla, Sandeep Pandre, Kurra Suresh, Nitin Kotkunde, Swadesh Kumar Singh
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023 - A critical analysis of formability and quality parameters for forming a dome shape using multi-stage strategies in incremental forming process
Praveen Kumar Gandla, Sandeep Pandre, Kurra Suresh, Nitin Kotkunde
Journal of Materials Research and Technology, 2022 - Effect of pre-cut hole diameter on deformation mechanics in multi-stage incremental hole flanging of deep drawing quality steel
Praveen Kumar Gandla, Suresh Kurra, K. Sajun Prasad, Sushanta Kumar Panda, Swadesh Kumar Singh
Archives of Civil and Mechanical Engineering, 2021 - Evaluation of surface roughness in incremental forming using image processing based methods
Praveen Kumar Gandla, Vamsi Inturi, Suresh Kurra, Sudha Radhika
Measurement Journal of the International Measurement Confederation, 2020 - Experimental study on force measurement For AA 1100 sheets formed by incremental forming
Praveen kumar G, Kurra Suresh
Materials Today Proceedings, 2019
