通讯机构：
[Qianwang Deng] S;State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, China
关键词：
Flexible job shop scheduling;Cooperation flexibility;Two-stage algorithm;NSGA-II;Objective-based local search
摘要：
The previous studies on the flexible job shop scheduling problems (FJSP) with machine flexibility and worker flexibility normally assume that each machine is operated by one worker at any time. However, it is not accurate in many cases because many workers may be required for machines in processing complex operations. Hence, this paper studies a universal version, i.e., FJSP with worker cooperation flexibility (FJSPWC), which defines that each machine can be used only if their required workers are prepared. A mixed-integer linear programming model tuned by CPLEX is established for the problem aiming to collaboratively minimize the makespan, maximum workload of machines and maximum workload of workers. To solve the problem efficiently, a Pareto-based two-stage evolutionary algorithm (PTEA) is proposed. In the PTEA, a well-tailored initialization operator and the NSGA-II structure are designed for global exploration in the first stage, and a competitive objective-based local search operator is developed to improve its local search ability and accelerate the convergence in the second stage. Extensive experiments based on fifty-eight newly formulated benchmarks are carried out to validate the effectiveness of the well-designed initialization operator and two-stage architecture. Comprehensive experiments are performed to evaluate the proposed PTEA, and the results reveal that the PTEA is superior to four comparison algorithms concerning the distribution, convergence, and overall performance.
期刊：
International Journal of Advanced Manufacturing Technology,2023年129(7):3027-3046 ISSN：0268-3768
通讯作者：
Shao, W
作者机构：
[Shao, W; Chen, Xuelin; Shao, Wen; Tang, Jinyuan] Cent South Univ, Coll Mech & Elect Engn, State Key Lab High Performance Complex Mfg, Changsha 410083, Hunan, Peoples R China.;[Chen, Xuelin] Cent South Univ Forestry & Technol, Sch Mech & Elect Engn, Changsha 410004, Peoples R China.;[Hu, Bo] Univ Edinburgh, Sch Engn, Edinburgh EH9 3JW, Scotland.
通讯机构：
[Shao, W ] C;Cent South Univ, Coll Mech & Elect Engn, State Key Lab High Performance Complex Mfg, Changsha 410083, Hunan, Peoples R China.
关键词：
Thermomechanical behavior;Tool-chip interface;Ultrasonic vibration–assisted cutting;Cutting force;Seizure area
摘要：
The thermomechanical behavior in tool-chip interface (TCI) is a key factor affecting the cutting performance. However, few investigations have been reported on the thermomechanical behaviors in tool-chip interface in ultrasonic vibration cutting (UVC). In this study, the thermomechanical behaviors in TCI are studied considering the ultrasonic vibration-induced alternation of contact stress and transient characteristics such as shear angle, tool-chip contact length, and flowing stress. The transient model for cutting force incorporating the effect of acoustic softening and transient characteristics is proposed. The predicted cutting forces and seizure area length are consistent with the experimental data. The mechanisms for the improvement of cutting performance in UVC are varied with cutting speed. Those findings suggest that the improvement of cutting performance is highly dependent on cutting speed, feed rate, as well as the coupling effect between ultrasonic vibration amplitude and feed rate. The ultrasonic vibration is also identified to improve the cutting performance prominently through promoting the crack initiation and propagation, as well as the generation of cyclic varied chip thickness. This is attributed to the changed cutting process introduced by ultrasonic vibration.
通讯机构：
[Liqiang Zhang] A;[Hui Li] S;State Key Laboratory of Utilization of Woody Oil Resource, Hunan Academy of Forestry, Changsha 410004, China<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>Authors to whom correspondence should be addressed.<&wdkj&>College of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha 410004, China
摘要：
The 34-day anoxic storage of Pinus massoniana sawdust (PS) in a sealed constant temperature and humidity chambers was carried out to simulate the limited-oxygen storage process inside piles at industrial scale. The effects of anoxic storage on feedstock's properties and pelletization process were investigated with respect to elemental composition, dry matter loss, thermogravimetric characteristics, energy consumption, pellets' density, and microbial communities, etc. After anoxic storage, the microbial community of PS samples was altered, such as the fungi content (Clonostachys, Strelitziana, and Orbilia, etc.), resulting the elemental composition of PS was altered. Thus, the cellulose and ash content of the stored PS were increased, while the hemicellulose, volatile, and fixed carbon were decreased. The energy consumption was increased 7.85-21.98% with the increase in anoxic storage temperature and with the additive of fresh soil collected from PS field in storage process. The single pellet density was altered slightly. Meanwhile, the moisture uptake of PS pellets was decreased. After anoxic storage, the combustion behavior of the stored PS became more stable. The results can be applied directly to guide the development of commercial PS storage and pelletization process currently under development in Asia, Europe and North America.
作者机构：
[Jiang, Xinchao; Li, Jinyang; Wang, Hu] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China.;[Wang, Hu] Beijing Inst Technol Shenzhen Automot Res Inst, Shenzhen 518000, Peoples R China.;[Luo, Hong; Li, Enying] Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha, Peoples R China.
通讯机构：
[Wang, H ] H;Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China.
关键词：
Meta-learning;Surrogate model selection;Automated model selection;Auto machine learning
摘要：
With the development of booming AutoML systems, modeling processes have become more automatic for researchers. However, AutoML systems may struggle to identify the optimal surrogate type, find the best combination of the hyper-parameters or establish a high-fidelity ensembled surrogate model for certain datasets. To address these issues and further improve the warm-start procedure of AutoML, a Ranking Prediction Strategy assisted Automatic Model Selection (RPS-AMS) method is proposed. In the suggested method, an integration of evolutionary algorithms (EA-based) and feature-based driven model selection strategy selects the best or the best combination models for prediction. Based on the proposed criteria, an XGBoost regression model is trained to determine the rankings from the candidate surrogate models and then build an ensembled surrogate model to further enhance accuracy. We evaluate RPS-AMS using 13 mathematical functions, 14 public datasets, and a real engineering problem. Compared with the popular modeling tools, such as Auto-Sklearn and EvalML, the RPS-AMS outperforms in term of accuracy while maintaining the performances of ergodic methods of all surrogate models. The accuracies of RPS-AMS rival EvalML in most tested datasets, although RPS-AMS may be slightly less efficient. Given that EvalML is a masterpiece of the AutoML systems, the performances of RPS-AMS are promising. This code is available at: https://github.com/HnuAiSimOpt/RPS-AMS.
摘要：
This study aims to explore the potential use of low-cost ultraviolet-visible-near infrared (UV-Vis-NIR) spectroscopy to quantify adulteration content of soybean, rapeseed, corn and peanut oils in Camellia oil. To attain this aim, test oil samples were firstly prepared with different adulterant ratios ranging from 1% to 90% at varying intervals, and their spectra were collected by an in-house built experimental platform. Next, the spectra were preprocessed using Savitzky-Golay (SG)-Continuous Wavelet Transform (CWT) and the feature wavelengths were extracted using four different algorithms. Finally, Support Vector Regression (SVR) and Random Forest (RF) models were developed to rapidly predict adulteration content. The results indicated that SG-CWT with decomposition scale of 2(5) and the Iterative Variable Subset Optimization (IVSO) algorithm can effectively improve the accuracy of the models. Furthermore, the SVR model performed best for predicting adulteration of camellia oil with soybean oil, while the RF models were optimal for camellia oil adulterated with rapeseed, corn, or peanut oil. Additionally, we verified the models' robustness by examining the correlation between the absorbance and adulteration content at certain feature wavelengths screened by IVSO. This study demonstrates the feasibility of using low-cost UV-Vis-NIR spectroscopy for the authentication of Camellia oil.
摘要：
This study reviews the recent research progress of spouted bed technology in applications of food products. The pure spouted bed drying, spouted bed drying with inert particles and drying carriers and the combination of spouted bed with other drying methods are discussed in detail. Results showed that the effect of temperature on drying characteristics and quality was the most investigated and different results of the drying quality were observed. SBD is a potential drying method for food products, however, there are still some difficulties that limit its industrial application. Thus, modified spouted beds that facilitates scale-up are needed, such as rectangular spouted bed, draft spouted bed and mechanically spouted bed. Spouted bed drying with inert particles is a flexible alternative drying technology compared to the spray drying. The effect of using inert particles in spouted bed is good, however, strong friction and long-term use of inert materials will lead to fracture and fragmentation. Thus, drying carriers are often added. The drying performance and quality of spouted bed with other drying methods is generally better than that of pure spouted bed drying as it combines the advantages of different drying methods.
通讯机构：
[Peng-Cheng Guo; Chao Xie] C;College of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, China<&wdkj&>College of Mechanical Engineering, Xiangtan University, Xiangtan, China<&wdkj&>College of Mechanical Engineering and Mechanics, Ningbo University, Ningbo, China
作者：
Dongkai Chu*;Weizhen Li;Shuoshuo Qu;Xinran Dong;Peng Yao
期刊：
Journal of Optics,2023年52(1):216-223 ISSN：0972-8821
通讯作者：
Dongkai Chu
作者机构：
Center for Advanced Jet Engineering Technologies (CaJET), School of Mechanical Engineering, Shandong University, Jinan, People’s Republic of China;State Key Laboratory of High Performance and Complex Manufacturing, College of Mechanical and Electrical Engineering, Central South University, Changsha, People’s Republic of China;Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Shandong University, Ministry of Education, Jinan, People’s Republic of China;[Xinran Dong] College of Mechanical and Electrical Engineering, Central South University of Forestry and Technology, Changsha, People’s Republic of China;[Dongkai Chu] Center for Advanced Jet Engineering Technologies (CaJET), School of Mechanical Engineering, Shandong University, Jinan, People’s Republic of China<&wdkj&>State Key Laboratory of High Performance and Complex Manufacturing, College of Mechanical and Electrical Engineering, Central South University, Changsha, People’s Republic of China<&wdkj&>Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Shandong University, Ministry of Education, Jinan, People’s Republic of China
通讯机构：
[Dongkai Chu] C;Center for Advanced Jet Engineering Technologies (CaJET), School of Mechanical Engineering, Shandong University, Jinan, People’s Republic of China<&wdkj&>State Key Laboratory of High Performance and Complex Manufacturing, College of Mechanical and Electrical Engineering, Central South University, Changsha, People’s Republic of China<&wdkj&>Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Shandong University, Ministry of Education, Jinan, People’s Republic of China
摘要：
Microfluidic chip, with the advantage of compact structure and low reagent consumption, has rapidly emerged as the key technologies in bio(chemical) analysis and materials generation. In this work, a facile method is presented to fabricate reusable microfluidic in fused silica glass using femtosecond double-pulse laser-assisted polarization-selective wet etching. Three methods of dark treatment, chemical treatment and static treatment are used to effectively control the wettability of the surface of microchannel to increase the reuse rate of the microfluidic chip. Furthermore, simulations and experiments for three different kinds of Y-shaped micromixers are carried out to achieve better mixing function of microfluidic. Results indicate that arc-shaped channels have better mixing function than square-wave-shaped channel and linear-shaped channels. Finally, the application of oil-in-water and water-in-oil droplet preparation is carried out using the prepared microfluidic. It is find that the volume of each drop is about 1.5 × 10−3–2.5 × 10−2μL. We believe the work in this paper will provide important theories and technologies for the rapid development of microfluidic chips and femtosecond laser processing.
