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An aerodynamic analysis of energy saving car based on computational fluid dynamic using solidworks

AIP Conference Proceedings 2024年第1期3222卷

作者： R. F. Naryanto A. Setiyawan A. Roziqin S. Maulana F. B. Darsono I. G. M. Andika M. K. Delimayanti R. A. Widodo Mechanical Engineering Department Universitas Negeri Semarang Semarang Indonesia Automotive Engineering Education Universitas Negeri Semarang Semarang Indonesia Computer and Informatics Engineering Department Politeknik Negeri Jakarta Depok Indonesia Master Program in Applied Electrical Engineering Politeknik Negeri Jakarta Depok Indonesia

Improved transportation increased the amount of fuel consumption required. Transportation in Indonesia is the largest oil-consuming sector, with a percentage of 40.1% of the total. Vehicle manufacturers are required to produce a vehicle that has a high level of fuel efficiency. This study aims to determine the aerodynamics of energy-efficient vehicle bodies based on computational fluid dynamics (CFD). This research was conducted using SolidWorks to implement the model. This study examined the variations in airflow velocity at 25, 40, 55, and 70 km/hour. It can be found that the coefficient of drag (Cd) values of the latest body designs with variations in airflow velocity were increased value. The calculation results of the coefficient of drag values were 0.149, 0.154, 0.162, and 0.162, respectively, and the average value was 0.156. In this research, we have found that the energy-saving car body can reduce the drag coefficient compared with the previous study.

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Catalytic effect of Titanium Dioxide (TiO2) on the kinetic and thermodynamic parameters of Tetraselmis chuii microalgae during the pyrolysis

Catalytic effect of Titanium Dioxide (TiO2) on the kinetic a...

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2019 International Conference on Renewable Energy, ICORE 2019

作者： Widiono, A.E. Sukarni, S. Wulandari, R. Puspitasari, P. Permanasari, A.A. Prasetiyo, A. Master Program of Mechanical Engineering Graduate School Universitas Negeri Malang Jl. Semarang 5 Malang65145 Indonesia Department of Mechanical Engineering Universitas Negeri Malang Jl. Semarang 5 Malang65145 Indonesia Universitas Negeri Malang Jl. Semarang No 5 Malang65145 Indonesia

The catalytic effect of TiO2 during the pyrolysis of Tetraselmis chuii (***) microalgae was studied using a thermal analyzer. Pyrolysis experiment was occupied on the sample that was a mixture of 10 mg microalgae and 5% TiO2 and the result was compared with microalgae and microalgae with 3% TiO2. The presence of 5% TiO2 into the microalgae affected decreasing the initial and final temperatures of degradation by approximately 17 °C (at Stage 2) and 35 °C (at Stage 3) respectively. The activation energy that was evaluated using the Coats-Redfern method for Stage 2 indicated the decreasing value of around 18.39 kJ/mol and increases in Stage 3 by 3.27 kJ/mol. The overall results indicated that addition of TiO2 has significantly influenced the conversion process of T. chuii microalgae. © Published under licence by IOP Publishing Ltd.

关键词： Microalgae

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Effect of titanium dioxide nanoparticles reinforcement in bacterial cellulose nanocomposites

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AIP Conference Proceedings 2024年第1期3027卷

作者： Rizki Eki Almalik Heru Suryanto Amminudin Jibril Maulana Department of Mechanical Engineering Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia Center of Excellence for Cellulose Composite (CECCom) Department of Mechanical Engineering Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia Master Program of Mechanical Engineering Universitas Negeri Malang Jl. Semarang 5 Malang 65145 Indonesia

Bacterial Cellulose (BC) offers unique physical qualities such as high purity, crystallinity, and mechanical strength, as well as a high-water absorption capacity. Pineapple peel may be utilized as a source of cellulose, which is employed in a variety of applications. To improve the combination of BC and TiO2, TiO2 must be added, which affects the production of the cellulose membrane. The morphology of the membrane was studied using scanning electron microscopy (SEM). The membrane structure was studied using X-Ray Diffraction. SEM micrographs revealed that the control concentration increased the number of pores and had a small pore size of 81 nm, whereas the TiO2 concentration decreased the pore size. This drop is connected to the concentration increase. An XRD examination reveals the appearance of three peaks, the first at 14.12°, the second at 16.80°, and the third at 22.5°. The crystallinity index (Cl) and degree of crystallinity (Cr) increased with the addition of the specified concentration of TiO2, with the crystallinity index (CI) ranging from 66.8% to 76.1% and the degree of crystallinity (Cr) ranging from 50.3% to 68.6%.

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Optimization of vertical spacing between each row of a vertical shelf to meet minimum sunlight requirement for strawberries

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AIP Conference Proceedings 2024年第1期3086卷

作者： Ar Man Chatchawan Chaichana Suwimon Wicharuck Ramnarong Wanison Damrongsak Rinchumphu Graduate Master’s Degree Program in Energy Engineering Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Energy Technology for Environment Research Center Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand Department of Civil Engineering Faculty of Engineering Chiang Mai University Chiang Mai 50200 Thailand

Vertical farming (VF) allows for more plants to be cultivated in a particular land area, maximizing land-use efficiency. VF employs multileveled shelves enabling crops to be planted at each level. This paper aims to develop an optimization model that could generate a required setup of a vertical shelf that would meet the sunlight requirements of strawberries. Firstly, the simulation model was developed using Rhino (Rhinoceros) software with Grasshopper plugin, which can predict the sunlight availability at each VF shelf level. The model is validated by the experiment in Chiang Mai province, Thailand, at an elevation higher than 310 m above mean sea level. The experiment set up of the VF shelf with three levels was constructed, and the solar radiation values were recorded and validated against the radiation predicted by the model. The validated model is used to simulate the sunlight radiation on each level of the shelf for different shelf designs with varying vertical spacings between each level. These sets of predicted radiation values and vertical spacings are used to train the ANN (Artificial Neural Network) model. The ANN simulation model was developed using MATLAB software with Simulink and Neural Net Fitting App. The trained ANN model has an MSE (Mean Squared Error) of 0.00019621 and an R (the correlation coefficient) value of 0.9992. As a result, the optimization model could successfully give out the vertical spacing between each level of the VF shelf with an input of desired sunlight availability on each level. For the PPFD (Photosynthetic Photon Flux Density) of 600 µmol/m2/s on both levels, the spacing should be 51.34 cm from the top to the middle (y1) and 48.69 cm from the middle to the bottom (y2). To receive 600 and 500 µmol/m2/s on the middle and bottom level respectively, the levels should be placed 66.77 cm (y1) and 30.89 cm (y2) apart.

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Deep Learning with Greedy Layer-Wise Compound Scaling for Temperature and Humidity Prediction in Solar Dryer Dome

SSRN

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SSRN 2022年

作者： Cenggoro, Tjeng Wawan Elwirehardja, Gregorius Natanael Dominic, Nicholas Setiawan, Karli Eka Rahutomo, Reza Djuana, Endang Gunawan, Fergyanto E. Budiman, Arief S. Romeli, Sugiarto Pardamean, Bens Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Bioinformatics and Data Science Research Center Bina Nusantara University Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Master of Computer Science Program Bina Nusantara University Jakarta11480 Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta11480 Indonesia Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta11440 Indonesia Industrial Engineering Department BINUS Graduate Program Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States PT. Impack Pratama Industri Jakarta Indonesia

Drying has been an eco-friendly and cost-efficient method to reduce post-harvest losses of agricultural crops. In various countries, the technique has been widely utilized in the form of Solar Dryer Dome (SDD) buildings. Accurate indoor microclimate forecasting is very important to implement smart control systems in SDDs that can maintain the ideal conditions, as the availability of solar energy is limited only at daytimes and the temperature may drop significantly during nighttimes in remote areas. The microclimate variables that play an important role in maintaining ideal environmental conditions include temperature and relative humidity. © 2022, The Authors. All rights reserved.

关键词： Forecasting

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Thermogravimetric study on the thermal characteristics of tetraselmis chuii microalgae pyrolysis in the presence of titanium dioxide

Thermogravimetric study on the thermal characteristics of te...

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Annual International Conference on Renewable Energy, ICORE 2019

作者： Sukarni, Sukarni Widiono, Aloon Eko Wulandari, Retno Prasetiyo, Ardianto Puspitasari, Poppy Department of Mechanical Engineering State University of Malang Semarang Street 5 Malang65145 Indonesia Master Program of Mechanical Engineering Graduate School State University of Malang Semarang Street 5 MalangEast Java65145 Indonesia Centre of Advanced Materials for Renewable Energy State University of Malang Semarang Street 5 Malang65145 Indonesia

ISBN: (纸本)9783035716276

This study aims to analyze the thermal characteristics of Tetraselmis chuii (***) microalgae in the presence of TiO2 (Titanium dioxide). The experiment was carried out on thermal analyzer equipment under inert condition. The blended sample has a mass ratio of microalgae and TiO2 that was 10:0.03 (wt%). The results of the thermal analysis show that the addition of TiO2 can change the temperature characteristics during the reaction process. The Coats-Redfern method is applied to calculate activation energy (Ea) resulted in the value of the blended fuel in the second stage that was 56.9 kJ/mol lower than that of pure microalgae that was 70.68 kJ/mol and conversely in the third stage the value of activation energy for blended fuel was 264.57 kJ/mol higher than pure microalgae that was 223.25 kJ/mol. Overall results pointed out that TiO2 had a significant impact on the thermal characteristic of Tetraselmis chuii during the pyrolysis process. © 2020 Trans Tech Publications Ltd, Switzerland.

关键词： Titanium dioxide

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Interface Rotation in Cu/Nb Accumulative Roll Bonded (ARB) Nanolaminates

SSRN

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SSRN 2022年

作者： Radchenko, Ihor Zhu, Wenxin Qing, Liu Navarro, Etienne Sahay, Rahul Lee, Pooi See Raghavan, Nagarajan Thomas, Olivier Budiman, Arief Suriadi Chen, Kai State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong University Xi’an China School of Materials Science and Engineering Nanyang Technological University Singapore639798 Singapore Nanyang Technological University Temasek Laboratories@NTU 637553 Singapore Aix Marseille Université Université de Toulon CNRS IM2NP Marseille France Xtreme Mechanics Lab 8 Somapah Road Singapore487372 Singapore Singapore487372 Singapore Department of Manufacturing and Mechanical Engineering and Technology Oregon Institute of Technology Klamath FallsOR97601 United States Industrial Engineering Department BINUS Graduate Program—Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia

Metal-metal nanolaminates made by accumulative roll bonding (ARB) is a developing new class of structural nanocomposites that possesses high strength, good ductility, and can also be produced in bulk. These nanolaminates exhibit strong crystallographic textures and mechanical anisotropy. Yet, their mechanical properties are often measured only along rolling direction (RD). Using in situ pillar compression, we show that in-plane shear deformation mechanism in Cu(63 nm)/Nb(63 nm) ARB nanolaminate strongly depends on the shear direction. Plastic shear along the RD abruptly changes into crystallographic rotation and later into interface shear as the shear direction deviates away from the RD. The observed shear mechanisms are driven by competition between different slip systems in Cu layers and at the interface. We expect similar deformation anisotropy to happen in other ARB nanolaminates with sharp texture and interface orientation. Comprehensive characterization of such nanolaminates may require considering more than just the usual rolling/transverse/normal direction anisotropy. © 2022, The Authors. All rights reserved.

关键词： Anisotropy

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Overview of machine learning applications to battery thermal management systems in electric vehicles

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AIP Conference Proceedings 2022年第1期2681卷

作者： Natthida Sukkam Thossaporn Onsree Nakorn Tippayawong 1Gradute Master’s Degree Program in Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand 2Department of Mechanical Engineering Faculty of Engineering Chiang Mai University Chiang Mai Thailand

Electric vehicle (EV) is increasingly becoming an alternative vehicle of choice to replace an internal combustion engine-powered car. EV concept is clearly linked to sustainable development. Generally, there are four types of EVs: hybrid, plug-in hybrid, battery, and fuel cell EVs. The form of energy source and storage plays a key role for all EVs. Mostly, a lithium-ion battery (high-voltage battery) is used as energy storage due to its high energy density and long-life cycle. But, high rates of charging and discharging bring about high temperatures of the lithium-ion battery, reducing its useful lifetime. A battery thermal management system (BTMS) is crucial in improving EV performance. Here, in this work, we presented an overview of BTMS employed in the EV development, as well as applications of machine learning techniques to predict and optimize BTMS performance based on fast-charging protocols. Additionally, BTMS based on tropical environmental conditions like in Thailand was also discussed.

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Crack Catcher AI — Enabling Smart Fracture Mechanics Approach for Damage Control in Thin Silicon Wafers for 3D Semiconductor Integrated Devices/Packages

Crack Catcher AI — Enabling Smart Fracture Mechanics Approa...

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Annual International Symposium on Reliability Physics

作者： Gabriel Preston Greer Gonzolez Andrea S. Karnyoto Fitya S. Mozar Matthew M. Henry Mahmud Isnan Kuncahyo S. Nugroho Henry Candra Muhamad Doris Dianing N. N. Putri Tyas K Sari Bens Pardamean Endang Djuana Derrric Speaks Arief S. Budiman Oregon Renewable Energy Center (OREC) Oregon Institute of Technology (Oregon Tech) Klamath Falls OR USA Dept. of Manufacturing & Mechanical Eng. & Tech. (MMET) Oregon Institute of Technology Klamath Falls OR USA Bioinformatics & Data Science Research Center (BDSRC) Bina Nusantara University Jakarta Indonesia Computer Sci. Dept. BINUS Grad. Program - Master of Computer Sci. Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Center for Artificial Intelligence and Advanced Technology (CAPTIVATE) Universitas TRISAKTI Jakarta Indonesia Department of Electrical Engineering Faculty of Industrial Technology Universitas TRISAKTI Jakarta Indonesia Industrial Eng. Dept. BINUS Grad. Program – Master of Industrial Eng. Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331504779

ISBN: (纸本)9798331504786

The importance of silicon cannot be undermined - in photovoltaics (PV) as well as in semiconductor industries. However, silicon is very brittle. Silicon cells/wafers crack easily during manufacturing assembly and/or during device operations. Crack Catcher AI uses novel smart fracture mechanics approach with Artificial Intelligence (AI) methodologies to predict and control crack/damage evolution in thin silicon cells/wafers. This is critical as semiconductor 3D integration technology calls for wafer-to-wafer bonding with utmost alignment accuracy and yield/reliability.

关键词： Semiconductor device measurement Three-dimensional displays Accuracy Semiconductor device reliability Silicon Artificial intelligence Bonding Stress Three-dimensional integrated circuits Stress measurement

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Effect of alkalization on the bacterial cellulose film structure produced using the pineapple waste

Effect of alkalization on the bacterial cellulose film struc...

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Annual International Conference on Renewable Energy, ICORE 2019

作者： Muhajir, Muhamad Suryanto, Heru Larasati, Aisyah Master Program of Mechanical Engineering Engineering Faculty Universitas Negeri Malang Jl. Semarang 5 MalangEast Java65145 Indonesia Centre of Advanced Materials for Renewable Energy Universitas Negeri Malang Jl. Semarang 5 MalangEast Java65140 Indonesia Engineering Faculty Universitas Negeri Malang Jl. Semarang 5 MalangEast Java65145 Indonesia

ISBN: (纸本)9783035716276

Bacterial cellulose is natural polymers materials produced by Acetobacter xylinum with attractive physical properties because they are ordinary and uniform in structure. An alternative of cellulose from renewable source with more effective results to produce bacterial cellulose fibers. For this reason, the purpose of this paper is to show the effect of alkalization process on the bacterial cellulose film structure. The methods were the synthesis of bacterial cellulose using the extracts of pineapple waste. The pellicle product was treated using in the concentration of 0%, 1%, 5% and 10% then bacterial fiber films obtained from drying process of treated pellicle. Furthermore, the XRD and FTIR of bacterial cellulose were observed. The results of the structure of bacterial cellulose film was changed after a process in a high concentration of NaOH. © 2020 Trans Tech Publications Ltd, Switzerland.

关键词： Cellulose films

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