Automation of Bolt Galvanizing Plant Using PLC

2011 ◽  
Vol 403-408 ◽  
pp. 473-476
Author(s):  
Abhijit Mukherjee ◽  
Anirban Roy ◽  
Jyotirmoy Biswas ◽  
Someswar Dhabal

Every aspect of life changes day by day. The change does not always involve the evolution of its bigger parts but in its smallest constituents. Similarly the advancement in technology is possible by evolving its minute elements. Every colossal structure, having unique designs, depends only on its constituents to maintain its image. Nut-bolts are such prime ingredients of any construction industry from small scale to large scale as they have a pivotal role in the whole production mechanism. But they need to be replenished to make them stand any disaster. Galvanization is one of the replenishment ways in their production. The paper deals with a galvanizing industry designed automatic by virtue of PLC for faster and reliable production as well as keeping in mind the optimum energy consumption and environment friendly working atmosphere.

2021 ◽  
Author(s):  
Seogchan Kang ◽  
Rhea Lumactud ◽  
Ningxiao Li ◽  
Terrence H Bell ◽  
HyeSeon Kim ◽  
...  

Heavy reliance on synthetic pesticides for crop protection becomes increasingly unsustainable, calling for robust alternative strategies that do not degrade the environment and vital ecosystem services. There exist numerous reports of successful disease control using various microbes in small-scale trials. However, their inconsistent efficacy has hampered large-scale applications. An enhanced understanding of how beneficial microbes interact with plants, other microbes, and the environment and which factors affect their efficacy of disease control is crucial to deploy microbial allies as effective and reliable pesticide alternatives. Diverse metabolites produced by plants and microbes participate in pathogenesis and defense, regulate the growth and development of themselves and neighboring organisms, help maintain cellular homeostasis under varied environmental conditions, and affect the assembly and activity of plant and soil microbiomes. However, research on the metabolites associated with plant growth/health-related processes, except antibiotics, has not received adequate attention. This review highlights several classes of metabolites known or suspected to affect plant health, focusing on those associated with biocontrol and belowground plant-microbe and microbe-microbe interactions. The review also presents how new insights anticipated from systematically exploring the diversity and mechanism of action of bioactive metabolites can be harnessed to develop novel crop protection strategies.


2012 ◽  
Vol 516-517 ◽  
pp. 1184-1187
Author(s):  
Heng Sun ◽  
Dan Shu ◽  
Hong Mei Zhu

One-stage pre-cooled mixture refrigerant cycle can be applied in small-scale LNG plant and be special suitable for skit mounted LNG plant. It has different character with the C3MR cycle used in large-scale LNG plant. The optimization of the mixture refrigerant is carried out using HYSYS software. The effect of the main process parameters on the performance of the cycle is calculated and discussed. The result shows that appropriate ranges of the process parameters exist. Higher and lower values of the parameters will increase the energy consumption significantly. The results also indicate that the optimization of the one-stage pre-cooled mixture refrigerant cycle can obtain rather high energy efficiency that is competitive with that of the SMR which is widely employed in small-scale LNG plant.


2021 ◽  
Vol 118 (17) ◽  
pp. e2017318118
Author(s):  
Yang Zhao ◽  
Zhenpo Wang ◽  
Zuo-Jun Max Shen ◽  
Fengchun Sun

Electrifying transportation in the form of the large-scale development of electric vehicles (EVs) plays a pivotal role in reducing urban atmospheric pollution and alleviating fossil fuel dependence. However, the rising scale of EV deployment is exposing problems that were previously hidden in small-scale EV applications, and the lack of large-scale EV operating data deters relevant explorations. Here, we report several issues related to the battery utilization and energy consumption of urban-scale EVs by connecting three unique datasets of real-world operating states of over 3 million Chinese EVs, operational data, and vehicle feature data. Meanwhile, by incorporating climatic data and EV data outside China, we extend our models to several metropolitan areas worldwide. We find that blindly increasing the battery energy of urban EVs could be detrimental to sustainable development. The impact of changes in the energy consumption of EVs would be exacerbated in large-scale EV utilization, especially during seasonal shifts. For instance, even with a constant monthly driving demand, the average energy consumption of Beijing light-duty EVs would change by up to 21% during winter–spring shifts. Our results may also prove useful for research on battery resources, urban power supply, environmental impacts, and policymaking.


Author(s):  
Yilin Fang ◽  
Hongkai Wei ◽  
Quan Liu ◽  
Yongliang Li ◽  
Zude Zhou ◽  
...  

Abstract Robot helps to increase automation and economic benefits of disassembly line systems, and reduce risk to the human worker. For the robotic disassembly line, its energy consumption can be further optimized to reduce carbon dioxide emissions. In this paper, energy consumption of disassembly line systems is considered to be one of optimization objectives of disassembly line balancing problem. In the proposed model, the optimization objectives are to minimize the energy consumption and the line length (number of multi-robotic workstations and number of opened disassembly robots). To solve this multi-objective optimization problem, an improved NSGA-III optimization algorithm which consists of problem-dependent global and local variation operators is proposed. Several experiments are conducted to verify the effectiveness of the proposed method. In terms of hypervolume indicator, compared with three other state-of-art multi-objective evolutionary algorithms, the proposed method outperforms the best in small-scale, medium-scale, and large-scale problems. The proposed method also performs better on the problem of all scales than MOEA\D and NSGA-II in inverted generational distance metric, the proposed approach outperforms NSGA-III in most small-scale, some medium-scale and large-scale problems. The Friedman test based on the indicators of hypervolume and inverted generational distance is also conducted to verify the effectiveness of the proposed method.


2010 ◽  
Vol 61 (4) ◽  
pp. 315-332 ◽  
Author(s):  
Kate M. Bennett ◽  
Kerry Gibbons ◽  
Suzanna MacKenzie-Smith

The Dual Process Model (DPM) of Coping with Bereavement identified two oscillating coping processes, loss and restoration (Stroebe & Schut, 1999). The utility of the model is investigated in two studies. In the first, we carried out secondary analyses on a large-scale qualitative study that we had conducted previously. In the second, we conducted a small-scale study specifically examining the DPM. In the first study we re-examined the interviews for Loss- (LO) and Restoration-Oriented (RO) Coping and examined whether these were associated with psychological adjustment. The results showed that those adjusting well reported the stressors New Roles/Identities/Relationships and Intrusion of Grief significantly more. Those adjusting less well reported the stressors Denial/Avoidance of Restoration Changes and Distraction/Avoidance of Grief significantly more. In the second study, we asked participants about four RO stressors of the DPM: Attending to Life Changes; New Roles/Identities/Relationships; Distraction from Grief; and New Activities. These data showed that not all participants experienced all aspects of RO Coping. In particular, participants had diverse views about the utility of Distraction from Grief as a coping mechanism. The article concludes by discussing the challenges of testing the DPM empirically.


2000 ◽  
Vol 45 (4) ◽  
pp. 396-398
Author(s):  
Roger Smith
Keyword(s):  

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.


2020 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Evi Rahmawati ◽  
Irnin Agustina Dwi Astuti ◽  
N Nurhayati

IPA Integrated is a place for students to study themselves and the surrounding environment applied in daily life. Integrated IPA Learning provides a direct experience to students through the use and development of scientific skills and attitudes. The importance of integrated IPA requires to pack learning well, integrated IPA integration with the preparation of modules combined with learning strategy can maximize the learning process in school. In SMP 209 Jakarta, the value of the integrated IPA is obtained from 34 students there are 10 students completed and 24 students are not complete because they get the value below the KKM of 68. This research is a development study with the development model of ADDIE (Analysis, Design, Development, Implementation, and Evaluation). The use of KPS-based integrated IPA modules (Science Process sSkills) on the theme of rainbow phenomenon obtained by media expert validation results with an average score of 84.38%, average material expert 82.18%, average linguist 75.37%. So the average of all aspects obtained by 80.55% is worth using and tested to students. The results of the teacher response obtained 88.69% value with excellent criteria. Student responses on a small scale acquired an average score of 85.19% with highly agreed criteria and on the large-scale student response gained a yield of 86.44% with very agreed criteria. So the module can be concluded receiving a good response by the teacher and students.


2019 ◽  
Vol 61 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Loretta Lees

Abstract Gentrification is no-longer, if it ever was, a small scale process of urban transformation. Gentrification globally is more often practised as large scale urban redevelopment. It is state-led or state-induced. The results are clear – the displacement and disenfranchisement of low income groups in favour of wealthier in-movers. So, why has gentrification come to dominate policy making worldwide and what can be done about it?


2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Bùi Thị Bích Lan

In Vietnam, the construction of hydropower projects has contributed significantly in the cause of industrialization and modernization of the country. The place where hydropower projects are built is mostly inhabited by ethnic minorities - communities that rely primarily on land, a very important source of livelihood security. In the context of the lack of common productive land in resettlement areas, the orientation for agricultural production is to promote indigenous knowledge combined with increasing scientific and technical application; shifting from small-scale production practices to large-scale commodity production. However, the research results of this article show that many obstacles in the transition process are being posed such as limitations on natural resources, traditional production thinking or the suitability and effectiveness of scientific - technical application models. When agricultural production does not ensure food security, a number of implications for people’s lives are increasingly evident, such as poverty, preserving cultural identity, social relations and resource protection. Since then, it has set the role of the State in researching and building appropriate agricultural production models to exploit local strengths and ensure sustainability.


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