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Performance Evaluation of Pangium edule Biodiesel Developed Using Palm Kernel Shell Heterogeneous Catalyst as Alternative Fuel in Multifunction Diesel Engine 1

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4th International Conference on Experimental and Computational Mechanics in engineering, ICECME 2022

作者： Rizal, Teuku Azuar Khairil Mahidin Husin, Husni Department of Mechanical Engineering Universitas Samudra Meurandeh Kota Langsa24416 Indonesia Department of Mechanical Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Department of Chemical Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia Doctoral Program in Engineering Universitas Syiah Kuala Darussalam Banda Aceh23111 Indonesia

ISBN: (数字)9789819974955

ISBN: (纸本)9789819974948

The main idea of this article is to provide further knowledge related to the application of pure biodiesel in a custom power generator. Previous research has shown preliminary results regarding the potential of Pangium edule. Biodiesel as feedstock and has been tested to run a diesel engine with lower rotational speed. The biodiesel in this research has been prepared using a heterogeneous catalyst derived from a palm kernel shell impregnated with K2CO3. In this research, small alternator is driven by Yanmar TF65 R-DI multifunction diesel engine, which is easily assembled and has been utilized as a power generator to be evaluated. The engine was tested under various biodiesel blend with given load and connected to multiple instrument to record data required, i.e. engine speed (rpm), fuel flow (ml/sec), voltage (V), and current (A) readings. The data series then used to analyse the engine performances. The custom power generator has been designed to work at 5.5 kWh in prolonged operation time, suitable to supply typical household wattage in the region, ranging from 0.9 up to 3 kWh. The fuel mixtures containing 20% biodiesel, or B20, is still desirable to use in general multipurposes diesel engine. While B30 show similar potential but it does not show a similar performance as in higher rotational speed diesel power generator as demonstrated earlier. However, PE biodiesel still shows a promising performance as an alternative source of diesel engine fuel. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Diesel engines

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Implementation of structurally pre-stressed piezo actuator based active vibration isolation system for micro milling

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Materials Today: Proceedings 2023年 92卷 182-188页

作者： Divijesh P.P. Rao M. Rao R. Jain N. Prabhu P. Department of Mechanical Engineering NMAM Institute of Technology Nitte India Department of Robotics and AI NMAM Institute of Technology Nitte India Department of Electronics and Communication NITK Surathkal India

This paper presents the implementation of a structurally pre-stressed piezo actuator based active vibration isolation system incorporated with tool based micromachining setup for analyzing and comparing the milled pocket depth surface before and after isolation. A carbide micro end mill tool with 1 mm diameter and 4 flutes has been used for carrying out pocket milling experiments with and without vibrations on copper work pieces having 3 mm thickness. The machining parameters selected were spindle speed of 16,000 rev/min with 64 mm/min feed rate and 50 μm depth of cut. Two sets of pocket milling experiments were carried out using the proposed vibration isolation setup one with vibration and the other without vibration. In the first set of experiment, the source actuator was actuated for generating vibrations during pocket milling whereas in the second set of experiment, both source and isolator actuators were actuated for nullifying the vibrations generated during pocket milling. The macroscopic lens output images of the pocket depth surfaces before and after isolation were then compared corresponding to various actuation voltages at different frequencies using the proposed vibration isolation setup. Based on the macroscopic lens output images it was observed that the milled pocket depth surface obtained by actuating only source actuator showed distinct rings wherein the ring count matched with frequency and feed rate that has been provided during machining. However, the milled pocket obtained by actuating both source and isolator actuators resulted in surface characteristics with less pronounced rings similar to that of regular machining. Also the rings that has been formed showed more defined edges with the increase in actuator voltage indicating that these distinct patterns were caused due to the vibrations generated by the source actuator alone and not other factors. © 2023

关键词： Active Vibration Isolation Isolator Actuator Pocket Depth Surface Pocket Milling Source Actuator

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Exploring Innovations in Autonomous robotics and Mechatronics: Application in Manufacturing and Healthcare 5

Exploring Innovations in Autonomous Robotics and Mechatronic...

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5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Shalini, T.Grace Ganeshabu, L. Chemudugunta, Priyanka Yamsani, Nagendar Kumar, Ch.Ashok Athiraja, A. School of Computing Department of Computational Intelligence Chengalpattu Tamil Nadu Kattankulathur India Rajalakshmi Engineering College Department of Robotics and Automation Thandalam Mevalurkuppam Rajalakshmi Nagar Tamil Nadu Chennai India Karpaga Vinayaga College of Engineering and Technology Department of Robotics and Automation Tamil Nadu Chengalpattu India Sr University Department of School of Computer Science and Artificial Engineering Warangal India Malla Reddy Engineering College Department of Mechanical Engineering Main Campus Hyderabad Telangana Maisammaguda India Telangana Secunderabad India

ISBN: (纸本)9798331504403

Autonomous robotics and mechatronics have drastically changed the manufacturing and healthcare sectors by increasing productivity, precision, and flexibility. This work addresses the pressing need for new methods to advance these sectors by merging intelligent algorithms with autonomous systems. A hybrid strategy was employed, combining Deep Reinforcement Learning (DRL) and Adaptive Control Systems (ACS), to develop and optimize robotic operations. Extensive studies were conducted to assess the success of this strategy, which demonstrated a 25% reduction in operating expenses and a 30% increase in production efficiency in manufacturing settings. The method produced a precision rate of about 99% in the healthcare industry, which is significantly better than the 93% average of current systems. It also reduced patient recovery times by an estimated 20%. These results highlight the improved performance and promise of ACS with DRL combination in autonomous robotics, which may have revolutionary implications for the manufacturing and healthcare industries. The success, highlighted by economic and medical benefits, demonstrates the efficacy of our methodology and provides a strong platform for future developments in autonomous robotics and mechatronics. © 2024 IEEE.

关键词： Deep reinforcement learning

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A deep learning model-based framework for abnormal state monitoring of blast furnace heat loads 14

A deep learning model-based framework for abnormal state mon...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Xu, Hong-Wei Sun, Yan-Ning Liu, Li-Lan Department of Mechanical and Automation Engineering Shanghai University Shanghai200444 China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai200444 China

ISBN: (纸本)9781837242672

Heat load is a pivotal metric for ensuring the safety of blast furnace equipment in the iron and steel smelting industry, crucial for monitoring the heat exchange process of blast furnace cooling walls and evaluating the erosion of furnace bodies. The variability of blast furnace heat load, influenced by factors such as feed and oxygen supply, often results in abnormal internal furnace temperatures and drastic heat load fluctuations, hindering effective preventive maintenance. This study introduces a deep-learning-based framework for monitoring the abnormal state of blast furnace heat load. Initially, a two-stage data preprocessing method for monitoring ironmaking parameters is proposed: the first stage eliminates missing and abnormal values from the monitoring parameters, while the second stage employs a feature selection model to identify key influencing parameters. Subsequently, a real-time prediction model of blast furnace heat load is designed, integrating one-dimensional convolutional neural networks (1DCNN) with bidirectional long short-term memory (BiLSTM) networks. This model uses a two-layer 1DCNN for automatic feature extraction from time series data, complemented by a single-layer BiLSTM network to accurately predict anomalous trends in heat load. This deep learning framework has demonstrated superior performance in prediction accuracy and abnormal trend identification compared to alternative models. © The Institution of engineering & Technology 2024.

关键词： Iron and steel industry

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A framework for correcting measurement position and directions to improve experimental frequency-based substructuring and hybrid models 31

A framework for correcting measurement position and directio...

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31st International Conference on Noise and Vibration engineering, ISMA 2024 and 10th International Conference on Uncertainty in Structural Dynamics, USD 2024

作者： Brons, M. Trainotti, F. Technical University of Denmark Department of Civil and Mechanical Engineering Nils Koppels Allé Kgs. Lyngby2800 Denmark Technical University of Munich Department of Mechanical Engineering Munich Institute for Robotics and Machine Intelligence Boltzmannstraße 15 Garching bei München85748 Germany

ISBN: (纸本)9789082893175

Experimental Frequency-based substructuring (FBS) is a strong tool for coupling individual substructures in the frequency domain to obtain predictions of the coupled response. A high-fidelity hybrid model can be obtained using FBS experimental measurements combined with an underlying numerical model. However, if the experimental sensor and impact positions are not exactly as numerically defined, the hybrid model will propagate errors. In this work, we suggest a method for correcting the position and direction of an impact/sensor to obtain more robust hybrid models. The framework is initially implemented on numerical data to investigate how direction or position can be detected. It is also tested on experimental data of a beam to validate the framework's applicability in practice. © 2024 Proceedings of ISMA 2024 - International Conference on Noise and Vibration engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics. All rights reserved.

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Biphasic Conductive Inks & Organogels for Soft Machines and Bioelectronics 5

Biphasic Conductive Inks & Organogels for Soft Machines and ...

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5th IEEE International Conference on Flexible and Printable Sensors and Systems, FLEPS 2023

作者： Majidi, Carmel Carnegie Mellon University Department of Mechanical Engineering PittsburghPA United States Robotics Institute Carnegie Mellon University Department of Electrical & Computer Engineering PittsburghPA United States

ISBN: (纸本)9781665457330

Over the past decade, there's been tremendous advancements in soft and highly stretchable circuitry for use in epidermal electronics for health monitoring, wearable computing, and soft robotics. As these technologies continue to improve, there is increasing interest in new material architectures that allow these materials to be printable over large areas or to exhibit robust self-healing properties. Here, I present progress on new classes of highly elastic 'biphasic' composites that incorporate gallium indium (EGaIn) liquid metal and silver flakes within a soft polymer matrix. These include printable inks for creating soft, sticker-like, digital circuits and bioelectronic interface using styrene-isoprene-styrene (SIS) thermoplastic elastomer as the polymer binder. I also present recent progress on EGaIn-Ag-organogel composites that exhibit unique combinations of dynamically tunable electrical conductivity and spontaneous mechanical self-healing. These composites can be utilized for applications that range from highly stretchable digital circuits to bioelectronic stickers for electrophysiological monitoring. © 2023 IEEE.

关键词： Timing circuits

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Interior-stress fields produced by a general axisymmetric punch

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Friction 2022年第4期10卷 530-544页

作者： Longxiang YANG Zhanjiang WANG Weiji LIU Guocheng ZHANG Bei PENG School of Automotive Engineering Geely University of ChinaChengdu 641423China Department of Mechanical Engineering Southwest Jiaotong UniversityChengdu 610031China School of Mechatronic Engineering Southwest Petroleum UniversityChengdu 610500China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Center for Robotics University of Electronic Science and Technology of ChinaChengdu 611731China

This work is a supplement to the work of Sneddon on axisymmetric Boussinesq problem in 1965 in which the distributions of interior-stress fields are derived here for a punch with general profile.A novel set of mathematical procedures is introduced to process the basic elastic solutions(obtained by the method of Hankel transform,which was pioneered by Sneddon)and the solution of the dual integral *** processes then enable us to not only derive the general relationship of indentation depth D and total load P that acts on the punch but also explicitly obtain the general analytical expressions of the stress fields beneath the surface of an isotropic elastic *** usually known cases of punch profiles are reconsidered according to the general formulas derived in this study,and the deduced results are verified by comparing them with the classical ***,these general formulas are also applied to evaluate the von Mises stresses for several new punch profiles.

关键词： axisymmetric Boussinesq problem interior stress Hankel transform dual integral equations

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Optimized Design of a Haptic Unit for Vibrotactile Amplitude Modulation

Optimized Design of a Haptic Unit for Vibrotactile Amplitude...

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2024 IEEE International Conference on robotics and Biomimetics, ROBIO 2024

作者： Huang, Jingchen Fang, Yun Guo, Weichao Qiao, Zhijian Sheng, Xinjun School of Mechanical Engineering Meta Robotics Institute Shanghai Jiao Tong University State Key Laboratory of Mechanical System and Vibration Shanghai200240 China Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665481090

Communicating information to users is a crucial aspect of human-machine interaction. Vibrotactile feedback encodes information into spatiotemporal vibrations, enabling users to perceive tactile sensations. It offers advantages such as lightweight, wearability, and high stability, with broad applications in sensory substitution, virtual reality, education, and healthcare. However, existing haptic unit designs lack amplitude modulation capabilities, which limits their applications. This paper proposed an optimized design of the haptic unit from the perspective of vibration amplitude modulation. A modified elastic model was developed to describe the propagation and attenuation mechanisms of vibration in the skin. Based on the model, two types of hierarchical architectural design were proposed. The design incorporated various materials arranged in multiple layers to amplify or attenuate the vibration amplitude as it traveled through the structure. An experimental platform was built to evaluate the performance of the optimized design. © 2024 IEEE.

关键词： Virtual reality

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Graph Synthesis of Generalized Parallel Mechanisms with Coupling Sub-chains 16th

Graph Synthesis of Generalized Parallel Mechanisms with Coup...

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16th International Conference on Intelligent robotics and Applications, ICIRA 2023

作者： Tian, Chunxu Li, Luquan Xia, Zhihao Zhang, Dan Institute of AI and Robotics Academy for Engineering and Technology Fudan University Shanghai200433 China Department of Mechanical Engineering The Hong Kong Polytechnic University Kowloon Hong Kong

ISBN: (纸本)9789819965038

Over the past few decades, there has been extensive research conducted in both academia and industry on conventional parallel manipulators. However, the exploration of generalized parallel mechanisms with coupling sub-chains has received limited attention. This paper introduces a novel approach to synthesizing parallel mechanisms with additional connecting sub-chains, focusing on number synthesis and graph representation. To develop manipulators with additional constraints, this study constructs contracted graphs with different loops. The contracted graphs are represented by arrays, which denote the connectivity relationships among associated linkages, leading to the discovery of new contracted graphs. Besides, the connective array is introduced to identify isomorphic and invalid contracted graphs, while also analyzing specific contracted graph variations. Furthermore, this paper deduces the evolutionary process of contracted graphs, resulting in the derivation of all available topological arrangements. This innovative method for graph synthesis of parallel mechanisms with coupling sub-chains has the potential to expand the range of available options within the family of generalized parallel mechanisms. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Manipulators

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Limitations in Transitioning from Conventional to Modern Total Knee Arthroplasty: A Review

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Multiscale Science and engineering 2024年第3期5卷 77-85页

作者： Sohail, Muhammad Park, Jaehyun Lee, Jaehun Kim, Heung Soo Department of Mechanical Robotics and Energy Engineering Dongguk University-Seoul Seoul Republic of Korea

Total knee arthroplasty (TKA) has undergone significant evolution from the initial concept of ivory components to the integration of artificial intelligence. Modern technologies, such as computers and surgical robots, are now employed to precisely place implants and achieve a neutral joint configuration with minimal incisions. Despite these advancements, achieving the desired preoperative outcome remains a challenge. Accurate implant alignment continues to be a prominent limitation in the field. Malalignment results in unbalanced stresses, restricted range of motion, patient discomfort, and ultimately, TKA failure. This study reviews the limitations of commercially available TKA techniques, including navigated TKA, robotic-assisted TKA, and artificial intelligence-based approaches. Compared with the conventional TKA, navigated TKA offers the advantage of smaller incisions, but does not consistently achieve the planned implant position. Conversely, robotic-assisted surgery theoretically provides perfect neutral alignment, but its widespread use is hindered by high operational costs and associated complications. While machine learning can predict the outcomes, its current level of accuracy is not yet clinically acceptable. Although most of the calculations for Patient-specific implants are performed during preoperative session, reducing surgery duration, drawbacks include the added expense of CT scans and MRI images, while the promised results have yet to be consistently achieved.

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