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检索条件"任意字段=3rd International Conference on Computational and Experimental Methods in Mechanical Engineering"

共 1766 条记录，以下是11-20 订阅

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3rd international conference on experimental and computational Mechanics in engineering, ICECME 2021

3rd International Conference on Experimental and Computation...

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3rd international conference on experimental and computational Mechanics in engineering, ICECME 2021

ISBN: (纸本)9789811936289

The proceedings contain 37 papers. The special focus in this conference is on experimental and computational Mechanics in engineering. The topics include: Thermal Performance of the Heat Pipe and Thermoelectric Sterilization Face Mask;the Utilization of Solar Heat with Variations of Roofing Materials in Drying Equipment;stress Analysis on an Automotive Coil Spring Due to Speed Effect;structural Analysis of Mobile Robot Frame for Spinach Water Seed Planting Using Finite Element Method;coal Ash Utilization as a Filler in Flexible Pavement Construction;Development of Concrete Carving CNC Machine for Wall Decoration;Numerical Analysis of Small-Scale Horizontal Type Wind Turbine Using the computational Fluids Dynamics (CFD) Method;Analysis of Working Posture on Tofu Factory Operator Activities Using RULA Method and Virtual engineering Software;experimental Study of Waste Plastic Oil - Pertamax (RON 92) Blend on Spark Ignition Engine Performance at High-Speed Rotation;maximum Application of Power Point Tracker on Microcontroller Based Dual Energy Solar Powered Dryer;business Process Model Design as a Basis for Determining the Price of Coffee Beans in Tanah Karo;The Integration of Six Sigma and FMEA methods in Determining Crude Palm Oil (CPO) Quality Improvement Factors at the Cot Girek Palm Oil Mill Unit of Pt. Perkebunan Nusantara-1;fuzzy Logic Control System For Fuel-Saving Using Steering Behavior;dynamic Stability of a Sieve Shaker Used in a Pachouli Oil Refining Process;hazmat Cooling Vest Temperature Using Heat Pipe and Thermoelectric;prediction of Shear Capacity of Reinforced Concrete Column Using Non-linear Finite Element Method.

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Indoor Forced Convection Drying of Giloy Stem: An experimental Investigation 3

Indoor Forced Convection Drying of Giloy Stem: An Experiment...

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3rd international conference on computational Modelling, Simulation and Optimization, ICCMSO 2024

作者： Vishal Dhingra, Ashwani Kumar Ali, Arshad Chhabra, Deepak Ahlawat, Akash Tiwari, Sumit Sahdev, Ravinder Kumar University Institute of Engineering and Technology Maharshi Dayanand University Department of Mechanical Engineering Rohtak124001 India Birla Institute of Technology and Science Department of Chemical Engineering Pilani500078 India Shiv Nadar Institution of Eminence Deemed to be University Department of Mechanical Engineering UP Dadri India

ISBN: (纸本)9798350361391

In this work, the convective heat transfer coefficient (CHTC) of Giloy (Tinospora Cordifolia) has been determined using indoor forced convection hot air electric drying (IFCHAED). The experiment was carried out in September 2023 under the climatic conditions of Rohtak. In an experimental drier, the giloy was dried until it achieved the acceptable safe humidity preservation level of 8-10%. As a consequence, to figure out the parameters of the trial constants n or c in the Nusselt value formulation, CHTC was computed by doing a basic linear regression study on the experimental data. The average CHTC hc, value is 1.07 W/m2°C. The error in the experiment is calculated as a percentage of uncertainty which is having an average value of 10.5436 for the instruments. © 2024 IEEE.

关键词： Forced convection

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From Atoms to Applications: computational Insights in Nano mechanics 3

From Atoms to Applications: Computational Insights in Nano m...

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3rd international conference on computational Modelling, Simulation and Optimization, ICCMSO 2024

作者： Bisht, Akansha Kumari, Neha Hasija, Yasha Delhi Technological University Department of Biotechnology Delhi India

ISBN: (纸本)9798350361391

This paper explores computational insights in Nano mechanical studies, bridging the realms of physics and biology. Leveraging techniques like molecular dynamics (MD) and finite element analysis (FEA), researchers predict nanoscale mechanical behaviors with precision, shedding light on molecular interactions under external forces. These insights extend to the biological domain, integrating structural biology data to understand biological systems' mechanical responses. Multiscale modeling further connects molecular-level interactions to macroscopic behavior, facilitating comprehensive understanding across length and time scales. The synergy between computational and experimental techniques refines models, promising transformative advancements in nanotechnology, materials science, and biomedical engineering. computational insights offer unparalleled opportunities to explore and comprehend molecular worlds, guiding future Nano mechanical studies with a holistic perspective. © 2024 IEEE.

关键词： Nanoclay

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mechanical properties and mechanism analysis of modified red layer filler with slag powder 3

Mechanical properties and mechanism analysis of modified red...

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3rd international conference on Materials engineering and Applied Mechanics (ICMEAAE)

作者： Gao, Yuan Niu, Haoying Zhang, Bingbing Lanzhou Jiaotong Univ Sch Architecture & Construct Lanzhou 730070 Gansu Peoples R China Lanzhou Jiaotong Univ Sch Chem & Chem Engn Lanzhou 730070 Gansu Peoples R China

In order to study the mechanical properties of slag micropowder cured red layer filler and its microscopic action mechanism, the mechanical properties of red layer filler with different dosages of slag micropowder were investigated by using test methods such as no lateral limit and straight shear, and the microscopic properties and improvement mechanism of slag micropowder cured red layer filler were analysed by using test methods such as X-ray diffraction, infrared spectroscopy, laser particle size, nuclear magnetic resonance, thermogravimetric analysis, and scanning electron microscopy. The experimental results show that the addition of slag powder can significantly improve the mechanical strength and water stability of the red-layer filler. The microscopic experiments such as X-ray diffraction and infrared spectroscopy proved that the action mechanism of slag micropowder-modified red layer filler is ion exchange and hydration. More importantly, using scanning electron microscopy (SEM), it can be visually observed that the improved red layer filler causes the soil particles to flocculate into sheets or clumps with the increase of hydration gel materials, forming lamellar accumulation or flocculation structures, and the structural integrity is significantly improved.

关键词： Slags

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Optimization and Automatic Generation Algorithm of mechanical Design Parameters Based on Deep Learning 3

Optimization and Automatic Generation Algorithm of Mechanica...

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3rd international conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2024

作者： Gao, Siming Jiang, Rongheng Harbin Huade University Heilongjiang Harbin150025 China

ISBN: (纸本)9798350376173

The purpose of this paper is to study the optimization and automatic generation algorithm of mechanical design parameters based on deep learning, and to explore its application in engineering design field. Firstly, the paper introduces the potential application of deep learning technology in mechanical design, and reviews the related research work. Then, a parameter optimization method based on Generative Adversarial Network (GAN) is proposed. By learning the complex design space characteristics, efficient design parameter optimization is realized. Then, the automatic generation algorithm based on the Variable Automatic Encoder (VAE) is discussed, which can generate diverse and innovative design schemes. Through the evaluation and analysis of the experimental results, the effectiveness and performance advantages of the proposed method are verified and compared with the traditional methods. Finally, the future development direction of GAN-based mechanical design optimization and VAE-based generation algorithm is prospected, and its application prospect in engineering practice is discussed. This study provides new ideas and methods for the application of deep learning technology in the field of mechanical design, and is of great significance for promoting the intelligence and automation of engineering design. © 2024 IEEE.

关键词： Generative adversarial networks

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Fretting Wear Evolution of Partially Compatible Materials 3

Fretting Wear Evolution of Partially Compatible Materials

引用

3rd international conference on computational Modelling, Simulation and Optimization, ICCMSO 2024

作者： Singh, Krishnamurti Yadav, Ashu Das, Bimal Manipal University Jaipur Mechanical Engineering Department Jaipur India Ahmedabad University School of Engineering and Applied Science Ahmedabad India

ISBN: (纸本)9798350361391

Fretting wear tests using a pin on disc tribometer (MFT-5000, Rtec Instruments, USA) for the partially compatible material combinations are conducted at room temperature for different test durations with relative humidity (RH) of 50-60%. The effects of fretting time on the coefficient of friction and wear volume are analyzed. Worn surfaces are analysed using 3D WLI optical profilometer, optical microscope, and Scanning Electron Microscope (SEM). The result shows that the test duration has a considerable effect on the wear volume and its mechanism. With the increase of fretting duration, the coefficient of friction initially increases then stabilizes for remaining test time with a slight decrease. Time-dependent fretting wear transition from partial slip to gross sliding condition is also observed from the morphological study. Likewise, the wear mechanism also changed from localized adhesive degradation to the combined degradation of adhesion, oxidation, crack initiation, and delamination wear. © 2024 IEEE.

关键词： Adhesion

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Taguchi's based approach to optimize the foundry's green sand casting process parameters 3

Taguchi's based approach to optimize the foundry's green san...

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3rd international conference on computational Modelling, Simulation and Optimization, ICCMSO 2024

作者： Singh, Jayant Saxena, Ankit Bhardwaj, Deepak Rohilla, Pradeep Dr. Akhilesh Das Gupta Institute of Professional Studies Mechanical Engineering Department New Delhi India

ISBN: (纸本)9798350361391

The worldwide foundry industry's development prospects have been greatly enhanced by the spike in demand for metal casting across numerous industries. For a foundry to successfully satisfy output requirements, it is essential to achieve optimal performance with low faults. For manufacturing to be effective, problems in the product must be found and fixed via methodical examination. This work illustrates how Taguchi's design of experiments methodology may be used to optimize the sand casting process's *** L9 orthogonal array and the Taguchi optimization technique are used to optimize the sand casting process parameters, and experimental analysis is used to verify the results. Important factors are taken into consideration, including the response variable of weight percentage inaccuracy and characteristics like moisture percentage, mould hardness number, and green compressive strength. experimental testing validates the results, which show a decrease in weight % error and, in the end, improved casting quality. The weight of the cast product noticeably increases with use of the Taguchi optimized parameters. This emphasizes how critical it is to reduce casting flaws since doing so produces more evenly and densely cast products, which improves overall quality. © 2024 IEEE.

关键词： Foundries

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Digit Forest for Outlier Detection 3

Digit Forest for Outlier Detection

引用

3rd international conference on Creative Communication and Innovative Technology, ICCIT 2024

作者： Yang, Jiawei Rahardja, Susanto University of Turku Department of Computing Turku Finland Singapore Institute of Technology Engineering Cluster Singapore Singapore

ISBN: (纸本)9798350367492

Outlier detection plays a vital role in modern computer science due to its important applications such as noise removal, fraud detection, and modern industrial monitoring. Although many outlier detection methods have been created over the years, only a small number of them effectively exhibit a good balance between high performance accuracy and low computational complexity. Owing to this drawback, the usage in large-scale data applications is therefore limited. To tackle this challenge, a novel method called Digit Forest (DF) is proposed in this paper. Furthermore, DF operates on the same principle as the isolation forest (IF) outlier detector in which outliers with lower density are identified. Moreover, DF exhibits lower complexity compared to IF as the dataset size increases. experimental results indicate that DF surpasses all 16 baseline methods tested on 8 publicly available real-world datasets. © 2024 IEEE.

关键词： Large datasets

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experimental Investigation of Incremental Sheet Metal Forming to Manufacture Complex Parts 3

Experimental Investigation of Incremental Sheet Metal Formin...

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3rd IEEE international conference on computational Intelligence and Knowledge Economy, ICCIKE 2023

作者： Shaarawy, Mostafa Ahmed Mahrous, Ahmed Hussein, H.M.A. Shazly, Mostafa Naranje, Vishal Helwan University Faculty of Engineering Mechanical Engineering Department Cairo Egypt BUE Faculty of Engineering Mechanical Engineering Department Cairo Egypt Amity University Mechanical Engineering Department Dubai United Arab Emirates

ISBN: (纸本)9798350338263

Incremental Sheet Metal Forming (ISF) is one of the recent metal forming techniques under the umbrella of dieless metal forming for the manufacturing of sheet metal parts in small batches and its prototypes. The effect of process parameters such as spindle speed, tool diameter, and feed rate on product quality and surface roughness on a conical product made of Aluminum alloy 1050 were investigated. Initially, experimentation was conducted for the manufacturing of simple conical parts to identify optimal process parameters. After successfully manufacturing a simple part, within the chosen range of parameters, no failures have occurred. Based on this, the complex-shaped part is produced using the highest feed rate to reduce the forming time. The complex-shaped part adopted in this study is an automotive hood part. Taguchi method is used to select the right combination of parameters for manufacturing of conical shape part, and then applied to manufacture complex-shape part. © 2023 IEEE.

关键词： Aluminum alloys

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experimental study of a novel technique of data hiding with high PSNR 3

Experimental study of a novel technique of data hiding with ...

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3rd international conference on Advances in Computing, Communication, Embedded and Secure Systems, ACCESS 2023

作者： Verdiyev, Sakit Naghiyeva, Ababil Kumar, Ajay Azerbaijan Technological University Dept. Computer Engineering and Telecommunication Ganja Azerbaijan Adi Shankara Institute Dept. Enginering and Technology Kalady India

ISBN: (纸本)9798350346169

The task of concealment of information is an important challenge in the context of an advance infrastructure of open and uncontrolled Internet users' communication through computer networks. Various steganographic methods have been developed to solve the problem of the protection of transmitted information. The aim of the present paper is the experimental study of the robustness of the algorithm developed by authors for the concealment of information. The reliability of the algorithm for stego analytics attacks has been investigated by the RS method of steganalysis. In addition, the computational complexity of the algorithm is investigated which in turn should not exceed a certain *** results of the experimental studies demonstrate the algorithm's high robustness and minimal computational time. © 2023 IEEE.

关键词： computational complexity

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