检索结果-内蒙古大学图书馆

Investigation and prediction on emissions and performance of CI engine employing binary and ternary blends with Karanja oil, used cooking oil, and Dunaliella salina oil

引用

Environmental Science and Pollution Research 2024年第38期31卷 50839-50856页

作者： Singh, Mandeep Bhardwaj, Aditya Alok Khatri, Kamal Kishore Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Rajasthan Jaipur302031 India Centre for Energy and Environmental Studies The LNM Institute of Information Technology Rajasthan Jaipur302031 India

Massive consumption of fossil fuels and alarming environmental degradation are motivating researchers to learn about alternative fuels. Straight vegetable oils are an alternative to fossil fuels to meet the standards. Microalgae is also a viable carbon–neutral alternative to depleting conventional fuel sources, a solution to the industrial requirement of organic consumables and an option for a green and sustainable economy for biofuels. In the present study, lipid was extracted from Karanja seeds and Dunaliella salina biomass. These were used to prepare different binary and ternary fuel blends with conventional reference diesel fuel with different proportions along with used cooking oil with their concentrations ranging from 10 to 20% (v/v). The influence of these blends on performance and emissions characteristics in CI engines has delved at varying engine loads from 0 to 100%. The binary blend with Dunaliella salina oil has increased the performance characteristics while decreasing all the major emission parameters compared to reference diesel fuel and shows a significant improvement among binary blends. Ternary blends with Dunaliella salina oil, on the other hand, have improved performance while lowering emission parameters when compared to reference diesel fuel and demonstrate a substantial improvement across ternary blends. For predicting the performance and emission characteristics of binary and ternary blends, an artificial neural network-based model was developed. The optimum blends, OB6 (90% RDF, 10% DO) and OB8 (80% RDF, 10% DO, 10% UCO), improved BSFC by 10.71%, BTE by 14.23%, and reduced BSEC by 12.45% at full load. Emissions were generally reduced, with CO2 decreasing by up to 39.39%. The simulation results demonstrated that the created 4–7-7 model was capable of accurately predicting the performance and emission characteristics of various alternative fuel blends and indicating a stronger correlation between the predicted and observed values, having a h

关键词： Diesel fuels

来源：评论

学校读者我要写书评

暂无评论

Optimising pool boiling performance of hybrid nanofluids through desirability function analysis

引用

Materials Today: Proceedings 2023年 72卷 787-793页

作者： Sharma, Pravin Omprakash Unune, Deepak Rajendra Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Rajasthan Jaipur 302031 India

Enhancements in critical heat flux (CHF), heat transfer coefficient (HTC), and other thermal parameters of nanofluids produced during pool boiling of Ag/ZnO hybrid nanoparticles are examined in the current work. We also present a study comparing performance outputs obtained after optimising the conflicting response variables. Copper rods having a cylindrical geometry with 20 mm outer diameter and 35 mm length and their upper face being modified over the die-sink electro-discharge machine (EDM) at various parameter settings were used as a test piece. This process produced test pieces of varying roughness upon which the experimental trials were undertaken. In order to disseminate the hybrid nanoparticles in the base fluid, i.e., DI (de-ionized) water, volume concentrations () of 0.02, 0.06, and 0.1% were used to make stable nanofluids utilising a magnetic stirrer and an ultrasonicator. We carried out pool boiling experiments by adapting the Taguchi methodology to design the experiments. Our study demonstrates that the enhancements are a function of surface roughness and nanofluid concentration. The increased concentration of nanoparticles during pool boiling studies raised important metrics like CHF and HTC. Compared to DI water, Ag/ZnO hybrid nanofluids showed excellent gains in HTC (∼250%) and CHF (∼80%) at surface characteristics corresponding to EDM settings of I = 35 A and Ton = 100 µs. The degree of superheat required for boiling incipience contradicted the experimental surface and fluid combination that showed maximum enhancements. As a result, an attempt to optimise the overall boiling performance was undertaken by employing the desirability function analysis (DFA). Considerable improvements were seen in CHF, HTC, and ΔT (Wall superheat) after experimenting with the optimised settings obtained after DFA implementation and determination of the mean of means. No improvements in heat transfer were seen for nanofluid concentrations above > 0.1% due to the instabil

关键词： Heat flux

来源：评论

学校读者我要写书评

暂无评论

Optimization of electric discharge drilling of Waspaloy using desirability function analysis

引用

Materials Today: Proceedings 2023年 72卷 1342-1346页

作者： Harane, Pravin Pandit Sharma, Pravin Omprakash Unune, Deepak Rajendra Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Rajasthan Jaipur 302031 India

Electric discharge drilling (EDD) is a very competent advanced machining technique utilized to fabricate drill holes, but minimum MRR, high TWR, and Ra limit the overall performance of the operation. Achieving precision accuracy holes on superalloys such as Waspaloy is not easy using the traditional machining technique. The investigating effect on responses has been found by conducting EDD experiments under the stipulated range of process parameters. The current, TON, TOFF, TES, and Voltage were chosen as input variables, whereas MRR, TWR, and Ra were selected as output variables. The experimentation was designed based on the Taguchi L16 orthogonal array in which Waspaloy and copper tool electrodes were used for the investigation. The optimization is essential for achieving the maximum performance of EDD. Therefore, in this study, DFA technique was used for the optimizations of EDD of Waspaloy. The optimal parameter settings are determined by using DFA technique. Trial experiments were performed based on optimal settings, improving measured responses positively. © 2022

关键词： Electric discharges

来源：评论

学校读者我要写书评

暂无评论

Silicon Carbide technology: State-of-the-Art 15

Silicon Carbide Technology: State-of-the-Art

引用

15th International Conference Elektro, ELEKTRO 2024

作者： Svarna, Veronika Frivaldsky, Michal Faculty of Electrical Engineering and Information Technology Department of Mechatronics and Electronics Žilina Slovakia

ISBN: (纸本)9798350372359

This article provides an overview of the most recent developments in silicon carbide research. It provides a brief history of silicon carbide and an overview of devices that use SiC technology today. A short description of the SiC power electronic devices is provided. The article also dives into current trends in SiC applications and topologies where SiC power electronics are used. At the end of this article, a quick comparison between classic silicon and modern silicon carbide technology is presented, along with challenges for the future development of the given technology. © 2024 IEEE.

关键词： Silicon carbide

来源：评论

学校读者我要写书评

暂无评论

Influence of Sensing Contacts on Electrochemical Impedance Spectroscopy Measurement of EV Batteries 15

Influence of Sensing Contacts on Electrochemical Impedance S...

引用

15th International Conference Elektro, ELEKTRO 2024

作者： Morgos, Jan Sedo, Jozef Resutik, Patrik Faculty of Electrical Engineering and Information Technology Department of mechatronics and electronics Zilina Slovakia

ISBN: (纸本)9798350372359

This article deals with the influence of the design of the measuring contact of electrochemical cells on the results measured by electrochemical impedance spectroscopy (EIS). Since battery cells can reach internal series resistance values in the sub milliohm range, impedance measurement becomes a problem. In general, impedance measurement in ranges smaller than 1 mΩ is problematic and makes it difficult to make contacts. Among other things, the EIS method uses injecting of excitation current. Therefore, the measuring contacts' design must have the smallest possible parasitic properties. © 2024 IEEE.

关键词： Electrochemical impedance spectroscopy

来源：评论

学校读者我要写书评

暂无评论

An ISM-DEMATEL Integrated Perspective for Investigating the Drivers of Sustainable Manufacturing for an Indian SME

An ISM-DEMATEL Integrated Perspective for Investigating the ...

引用

International Conference on Production and Industrial Engineering, CPIE 2023

作者： Batwara, Amber Sharma, Vikram Makkar, Mohit Department of Mechanical-Mechatronics Engineering The LNM Institute of Information Technology Jaipur302031 India

ISBN: (纸本)9789819983421

Today, the industry faces the test of agreeing with stringent ecological enactment due to the shortage of global warming, waste management, and natural resources issues. Expanding small and medium-sized firms (SMEs) in India is critical since they account for a large portion of total manufacturing output. In this age of globalization, SMEs are under pressure to maintain long-term profitability by cutting costs while still being environmentally sensitive. This study aims to recognize 12 drivers based on expert views through surveys and literature. In this article, the hierarchical and contextual relationship structures between SM drivers were addressed using the intergraded approach of "decision-making trial and evaluation laboratory (DEMATEL)" and "interpretive structural modeling (ISM)." After-effects of the study indicate that "social and environmental responsibility," "employees motivation, health, and safety," and "scarcity of resources and higher waste generation" are essential drivers, as illustrated in a new ISM-DEMATEL methodology. Thus, our research will help prioritize the critical drivers for SM practices in Indian SMEs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Effect of Welding Current and Electrode Polarity on Weld Bead Geometry and Shape Relationships in Gravity-Assisted Mechanized Contact Shielded Metal Arc Welding 21st

Effect of Welding Current and Electrode Polarity on Weld Bea...

引用

21st ISME International conference on Advances in Mechanical Engineering, ISME 2023

作者： Kumar, Manoj Shrimali, Ritesh Singh, Ayush Kumar Pandey, Sunil Department of Mechanical - Mechatronics Engineering The LNM Institute of Information Technology Jaipur302031 India

ISBN: (纸本)9789819736539

The paper reports how welding current and electrode polarity affect on weld bead geometry and shape relationships in a gravity-assisted SMAW process. An air-hardening MFH 350 electrode was used. Various weld bead geometry parameters, i.e., bead height, bead penetration, bead width, and shape relationships, i.e., weld reinforcement form factor, weld penetration shape factor, percent dilution, and linear heat input, have been recorded and computed. A gravity-assisted mechanized setup, fabricated in the welding research laboratory was used for continuous mechanized contact welding. The mechanization fully eliminated the effect of the welder’s skill on the melting rate and the BG and SR. The melting rate and hence the welding speed of the bead on plate deposition were varied by varying the welding current. The welding current was varied from 120 to 180 amperes. The whole experiment was conducted with DCEN and DCEP. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Research laboratories

来源：评论

学校读者我要写书评

暂无评论

Mixed Reality as Empathy Machine. Case Study in Universal Design Course 23

Mixed Reality as Empathy Machine. Case Study in Universal De...

引用

2023 SIGGRAPH Asia 2023 Educators Forum, SA 2023

作者： Kamińska, Dorota Zwolinski, Grzegorz Dubiel, Agnieszka Institute of Mechatronics and Information Systems Lodz University of Technology Poland

ISBN: (纸本)9798400703119

Empathy has become a central focus in design and is clearly evident in various frameworks, such as universal design, inclusive design, and human-centered design. However, among numerous stakeholders, designers, and engineers are the ones who particularly require an expansion of their empathetic understanding. The emergence of immersive technologies has the potential to facilitate the development of empathy in individuals. Extended reality (XR) combines virtual reality with the real world, enabling the simulation of various physical states, health conditions, and limitations of the human body. This paper introduces three distinct XR scenarios that immerse potential users in the experiences of people with special needs. The elaborated tasks encompass aspects like mobility impairments, pregnancy, and challenges faced by the elderly. All exercises take place in a familiar supermarket environment, as shopping is a common, everyday activity for most people. The XR application is designed for the Oculus Quest 2 platform and is complemented by external equipment such as a geriatric suit, pregnancy belly simulator, or wheelchair. The proposed simulations were assessed and validated by 42 students from the Lodz University of technology taking the Universal Design course. The testing process comprised several stages, which included an empathy pre-Test, the execution of the XR experience, an empathy post-Test, and a brief interview. Additionally, we registered the time for exercises and monitored users' movement activity during the experience. © 2023 Owner/Author.

关键词： Mixed reality

来源：评论

学校读者我要写书评

暂无评论

Dynamic Charging and Path Planning for UAV-Powered Rechargeable WSNs Using Multi-Agent Deep Reinforcement Learning

引用

IEEE Transactions on Automation Science and Engineering 2025年 22卷 15610-15626页

作者： Betalo, Mesfin Leranso Leng, Supeng Seid, Abegaz Mohammed Abishu, Hayla Nahom Erbad, Aiman Bai, Xiaoshan Shenzhen University College of Mechatronics and Control Engineering Shenzhen518060 China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Hamad Bin Khalifa University Division of Information and Computing Technology College of Science and Engineering Doha Qatar Shenzhen University College of Mechatronics and Control Engineering National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China

Unmanned Aerial Vehicle (UAV)-powered 5G/6G networks integrated with rechargeable wireless sensor networks (RWSNs) offer promising solutions for extending system lifetime, collecting data, and providing computing services and power to sensor nodes (SNs). UAVs offer significant advantages, including exceptional mobility, cost-effective deployment, and the ability to be easily reprogrammed for a wide range of missions. However, the limited onboard power capacity of UAVs, coupled with the lack of dynamic and intelligent charging station (CS) management and inefficient path planning, can lead to SN failure in dynamic mobile environments. To address these challenges, we propose an energy-efficient laser-charged UAV (LCU)-enabled RWSN environment, wherein UAVs, powered by laser beams from ground-based stations, provide services, collect data, and transfer energy to SNs. We formulate a joint optimization problem involving power allocation, dynamic charging strategy (DCS), and path planning to minimize task completion time and sensor node death time. Given the NP-hard nature of the problem, we employ a stochastic game model based on a Markov decision process (MDP) for its solution. To solve this problem, we propose a deep reinforcement learning (DRL) based algorithm that enables real-time charging scheduling decisions while optimizing network performance. We introduce a multi-agent double deep Q-network (MA-DDQN) model to determine the optimal trajectories for all UAVs in large and complex environments. Simulation results demonstrate that the MA-DDQN approach outperforms state-of-the-art techniques, showing significant improvements in terms of average delay, energy consumption, and task completion time. © 2004-2012 IEEE.

关键词： Stochastic models

来源：评论

学校读者我要写书评

暂无评论

An improved 3D U-Net-based deep learning system for brain tumor segmentation using multi-modal MRI

引用

Multimedia Tools and Applications 2024年第37期83卷 85027-85046页

作者： Ali, Saqib Khurram, Rooha Rehman, Khalil ur Yasin, Anaa Shaukat, Zeeshan Sakhawat, Zareen Mujtaba, Ghulam Faculty of Information Technology Beijing University of Technology Beijing100124 China College of Mechatronics and Control Engineering Shenzhen University Shenzhen China Department of Radiology Advance Diagnostic Center Islamabad Pakistan

Cancer is a lethal illness that requires an initial stage prognosis to enhance patient survival rate. Accurate brain tumor and their sub-structure segmentation through Magnetic Resonance Images (MRIs) is a tough endeavor. Owing to the heterogeneous tumor areas, automatically segmenting brain tumors has proved to be a critical task even for neural network-based algorithms, some tumor regions remain unidentified due to their small size and the variation in area occupancy among tumor sub-classes. Current progress in the area of neural networks has been employed to enhance the segmentation performance. This study designed an intelligent 3D U-Net encoder-decoder-based system for automatic detection and brain tumor sub-structure segmentation. Our proposed 3D model constitutes neural units (the basic building blocks) followed by transition layer blocks and skip connections. BraTS 2018 and private local datasets are used to evaluate the proposed model which segments the Whole Tumor (WT), Tumor Core (TC), and the Enhancing Tumor (ET). The training accuracy, validation accuracy, dice score, sensitivities, and specificities of WT, CT, and ET zones are computed. The experimental results demonstrate that dice scores are 0.913, 0.874, and 0.801 for the BraTS 2018 dataset. The developed models performance was further evaluated by utilizing the dataset from a local hospital containing 71 subjects. The dice scores of 0.891, 0.834, and 0.776 are achieved by the proposed model on the private dataset. The practicability of the proposed model was assessed by the comparative studies of our model with existing literature. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Magnetic resonance

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：