Automatic Production Research Articles

A life cycle assessment of an enterprise's low-carbon emissions model: The Xinjiang Shihezi pig farm faecal treatment biogas project as a case study

The requirement of carbon emission reduction promotes the continuous implementation and development of low carbon emission mode in typical high-carbon industry aquaculture, especially in the resourceful treatment of terminal waste. However, the previous studies usually focus on a single process or chain, the difference between the long-chain (LC) and automated integration (AI) in the overall environmental impact needs to be quantified and standardised. This paper intends to make a comparative study on two waste treatment biogas projects of aquaculture, a typical industry with high resource consumption and pollution emission in industry and agriculture, and a typical production mode case of aquaculture. The life cycle assessment method is adopted to analyse the environmental impact intensity, identify key link materials, and put forward targeted improvement and optimization schemes. The study found the LC system's comprehensive environmental impact (CEI) is smaller, which is 59.73% less than the AI system. Biogas slurry returning to the field can effectively avoid inorganic fertilizer input. The pretreatment and storage of feces are the key stages. The key substances are NH3 and nitrogen oxides. Suggestions were put forward to optimize the manure management process. In practical pig farms, the process of dry-cleaning manure pre-treatment, automatic fermentation gas production and final biogas slurry filtration drip irrigation should be promoted.

Production and maintenance in industries: impact of industry 4.0

PurposeProduction industries are undergoing a digital transition, referred to as the fourth industrial revolution or Industry 4.0, as a result of rapidly expanding advances in information and communication technology. The purpose of this research is to provide a conceptual insight into the impact of unique capabilities from the fourth industrial revolution on production and maintenance tasks in terms of providing the existing production companies a boost by making recommendations on areas and tasks of great potential.Design/methodology/approachA survey and a literature review are among the research methods used in the research. The survey collected empirical data using a semi-structured questionnaire, which provided a broad overview of the company's present condition in terms of production and maintenance, resulting in more comprehensive and specific information regarding the study topics.FindingsThe study points out that, the implementation of I4.0-technology leads to an increase in production, asset utilization, quality, reduced machine down time in industries, and maintenance. Sensor technology, big data analysis, cloud technologies, mobile end devices, and real-time location systems are now being implemented to improve production processes and boost organizational competitiveness. Moreover, the study highlights that data acquired throughout the production process is utilized for quality control, predictive maintenance, and automatic production control. Furthermore, I4.0 solutions help companies to be more efficient with assets at each stage of the process, allowing them to have a stronger control on inventories and operational-optimization potential.Originality/valueThe findings of the study was supported by empirical data collected through survey that provides an intangible understanding of the importance of distinctive capabilities from the I4.0 revolution on production and maintenance tasks. In this study, some recommendations and guidelines to enhance these tasks are provided that are vital for existing production companies.

A Robotic Milling System Based on 3D Point Cloud

Industrial robots have advantages in the processing of large-scale components in the aerospace industry. Compared to CNC machine tools, robot arms are cheaper and easier to deploy. However, due to the poor consistency of incoming materials, large-scale and lightweight components make it difficult to automate robotic machining. In addition, the stiffness of the tandem structure is quite low. Therefore, the stability of the milling process is always a concern. In this paper, the robotic milling research is carried out for the welding pre-processing technology of large-scale components. In order to realize the automatic production of low-conformity parts, the on-site measurement–planning–processing method is adopted with the laser profiler. On the one hand, the laser profiler hand–eye calibration method is optimized to improve the measurement accuracy. On the other hand, the stiffness of the robot’s processing posture is optimized, combined with the angle of the fixture turntable. Finally, the experiment shows the feasibility of the on-site measurement–planning–processing method and verifies the correctness of the stiffness model.

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline.

Developing gene regulatory network models is a major challenge in systems biology. Several computational tools and pipelines have been developed to tackle this challenge, including the newly developed Inherent Dynamics Pipeline. The Inherent Dynamics Pipeline consists of several previously published tools that work synergistically and are connected in a linear fashion, where the output of one tool is then used as input for the following tool. As with most computational techniques, each step of the Inherent Dynamics Pipeline requires the user to make choices about parameters that don't have a precise biological definition. These choices can substantially impact gene regulatory network models produced by the analysis. For this reason, the ability to visualize and explore the consequences of various parameter choices at each step can help increase confidence in the choices and the results.The Inherent Dynamics Visualizer is a comprehensive visualization package that streamlines the process of evaluating parameter choices through an interactive interface within a web browser. The user can separately examine the output of each step of the pipeline, make intuitive changes based on visual information, and benefit from the automatic production of necessary input files for the Inherent Dynamics Pipeline. The Inherent Dynamics Visualizer provides an unparalleled level of access to a highly intricate tool for the discovery of gene regulatory networks from time series transcriptomic data.

Predicting meat consumption from concurrent, automatic appraisals: Introducing nuance to product appraisals

Research into the relationship between automatic product appraisals and consumer behaviour has largely been limited to measuring generic product evaluations (i.e., positive vs. negative). Especially in the context of meat consumption, this approach seems inadequate, as conflicting evaluative product dimensions may play a role in the preference for a plant-based vs. a meat-based diet (e.g., sustainability vs. taste vs. healthiness). We discuss the limitations of this approach and provide a novel tool that can measure automatic appraisals of several stimulus dimensions simultaneously. Using this tool, we register automatic appraisals (health, taste, price, sustainability, ethicality) of meat and vegetarian stimuli, and compare automatic and explicit appraisals in relation to a range of outcome measures, including self-reported likelihood of purchase and reducing meat consumption, willingness to pay, self-reported frequency of meat consumption, and Body Mass Index. Our findings suggest that the measured automatic appraisals represent unique constructs and vary in the degree to which they inform behaviour. Further, variation in the prediction of the outcome variables suggests that the appraisals captured by the explicit and automatic measures differed. Demonstrating unique contributions of the individual automatic appraisals has crucial implications for future research to understand behaviour and improve existing models.

Dynamic Workpiece Modeling with Robotic Pick-Place Based on Stereo Vision Scanning Using Fast Point-Feature Histogram Algorithm

In the era of rapid development in industry, an automatic production line is the fundamental and crucial mission for robotic pick-place. However, most production works for picking and placing workpieces are still manual operations in the stamping industry. Therefore, an intelligent system that is fully automatic with robotic pick-place instead of human labor needs to be developed. This study proposes a dynamic workpiece modeling integrated with a robotic arm based on two stereo vision scans using the fast point-feature histogram algorithm for the stamping industry. The point cloud models of workpieces are acquired by leveraging two depth cameras, type Azure Kinect Microsoft, after stereo calibration. The 6D poses of workpieces, including three translations and three rotations, can be estimated by applying algorithms for point cloud processing. After modeling the workpiece, a conveyor controlled by a microcontroller will deliver the dynamic workpiece to the robot. In order to accomplish this dynamic task, a formula related to the velocity of the conveyor and the moving speed of the robot is implemented. The average error of 6D pose information between our system and the practical measurement is lower than 7%. The performance of the proposed method and algorithm has been appraised on real experiments of a specified stamping workpiece.

Monitoring of 304 austenitic stainless-steel laser-MIG hybrid welding process based on EMD-SVM

Real-time monitoring of laser-metal inert gas (MIG) hybrid welding plays a significant role in modern automatic production. In this paper, an innovative prediction model is proposed for laser-MIG hybrid welding process monitoring and weld defect detection. Specifically, the status of laser-MIG hybrid welding was monitored using a high-speed imaging system that could observe the visual information from the top and bottom of the weldment simultaneously. Then, the morphological features were extracted by image process algorithm. Furthermore, the empirical mode decomposition (EMD) was employed to analyze the time series of visual features, and the decomposed component intrinsic mode functions (IMFs) and residue were inputted to the support vector machine (SVM) classification model. Finally, the EMD-SVM model was employed to evaluate the welding status of four weld formations, including sound weld, root humping, incomplete penetration and burn through. Experimental results demonstrate the superiority of the proposed method in terms of accuracy and robustness compared with traditional methods such as the backpropagation (BP) neural network, SVM, wavelet packet decomposition (WPD)-BP, WPD-SVM, and EMD-BP. This proposed method provides a novel and accurate approach to perform laser-MIG welding process monitoring and online defects detection.

Mechanical Design and Improvement of Computer Automatic Production Line

The mechanical design amelioration of automatic production line can intelligently adjust the production rhythm of the production line on demand, control the rhythm of production scheduling according to the production process requirements, and establish a modular design mode, so it has important research value. Based on this, this paper first analyses the mechanical design principle of the automatic production line, then studies the computer control system of the automatic production line, and finally gives the amelioration measures of the mechanical design of the automatic production line.

Sosialisasi Handsanytizer Otomatis Guna Mencegah Penularan Covid-19 bagi siswa-siswi TPQ Darussalam di Banyuwangi

The purpose of this Community Partnership Program (PKM) activity is to provide knowledge about the importance of maintaining personal hygiene to prevent the spread of Covid-19 which is increasingly widespread among children. Partners in the activities of TPQ Darussalam students. Stages of activity 1) Planning at this stage the activities carried out are, observation, writing proposals, preparation of socialization materials, preparation of making automatic hand sanitizer tools, debriefing materials, 2) Implementation and socialization. The results of this activity are 1) socialization of automatic hand sanitizers can prevent the transmission of Covid -19 and increase public understanding and knowledge, especially students of TPQ Darussalam, Purwoharjo. 2) the availability of automatic hand sanitizer products in the students of TPQ Darussalam, Purwoharjo. Socialization activities for the use of automatic hand sanitizers and socialization to prevent the transmission of Covid-19 need to be carried out regularly.

The naturalness index for the identification of natural areas on regional scale

Researchers have been trying to measure the influence of humankind on our environment for several decades. Among the technical solutions for this goal, approaches for a rule-based fusion of different geospatial information layers have reached the greatest level of maturity, enabling the (semi-)automatic production of maps at resolutions of about 1 square kilometer. While those existing approaches aim at a global analysis of human influence, conservation efforts are usually implemented on a regional scale. To bridge the gap between a global, low-resolution analysis and a local, high-resolution analysis, with this paper, we propose the Naturalness Index (NI), which represents the naturalness of the Earth’s surface as a metric between 0 and 100 at a spatial resolution of 10 m per pixel. Our approach builds on the established Human Influence Index, but replaces different geospatial input layers with more recent, higher resolution counterparts. Using the cloud computing platform Google Earth Engine, regional maps at a resolution of 10 m × 10 m per pixel can be produced efficiently in a fully automatic manner. We demonstrate the functionality by creating maps for three different localities in Europe – Bavaria, Lapland, and Scotland. A comparison of the NI values achieved with our approach to official conservation areas as well as a correlation with existing similar maps indicate the validity of our approach.

Control, computing and communication in industrial cyberphysical systems with feedback

The cyber-physical production base technologies are control, computing and connection being applied altogether in the industrial object technological processes automatic regulation systems. They use control technologies in multi-loops and multi-channel regulation systems forming a hierarchy structure. Automatics functional elements unite in the intermediary regulation scheme stabilizing hierarchy control objects, which states are detected with sensors. Computing technologies are used in the cyber-physical production imitation virtual environment and provide processes simulation based on control models and cyber-physical systems digital twins structured in hierarchy levels. The regulation accuracy increase is provided with physical and model processes results comparison detecting non-definition factors acting production processes accuracy. The communication technology is used for the cyber-physical systems net information exchange given with the Internet of Things parameters. The cyber-physical systems continuous work in the non-ideal communication net regulation interval is provided with preventive control signals compensating operation and information delay of automatic conveyor lines. There is a scheme given of multi-loop and multi-channel automatic cyber-physical production using control objects hierarchy based on cyber-physical systems hierarchy and item manufacturing technological tasks.

Research on the key design and application of the device of opening cover and ring cutting and digging flesh of Mandari

Aiming at the problems of low efficiency and poor sanitation of manual cover opening and meat digging in the production of common orange tea, a multi station full-automatic meat digging machine for common orange tea is designed to realize the automatic cover opening and pulp separation device of green orange, so as to meet the production of common orange tea in Xinhui District of Jiangmen. The mechanism of peel stress and pulp separation damage of green citrus in the process of mechanical meat digging was studied. The state of peel contact deformation area of green Citrus under the extrusion of meat digging knife was analyzed by simulation, and the structural and operating parameters of de jacking and opening mechanism and meat digging mechanism were optimized. When the extrusion force was less than 35.6n, the peel damage rate could be minimized. Compared with manual operation, it reduces labor cost and production cost, saves processing time, and realizes automatic and rapid production.

Automatic Assembly of Bolts and Nuts Based on Machine Vision Recognition

In this study, based on the computer vision technology, we developed a recognition system for nuts positioning to complete the automatic bolt assembly part of the automatic production line. The actual image of the nut was captured by an industrial camera, which would be processed by the following edge detection and Hough circle transformation. After that, the coordinates of the nuts were obtained in the pixel scale. Finally, the real position of nuts would be fed back to the robot arm, according to which the automatic assembly of the bolt would be completed. This computer vision based recognition system is an indispensable part for the efficiency and accuracy improvement of automatic production line.

Improved Design of Steel Pipe Transfer Device Turnover Mechanism

In the steel pipe manufacturing industry, the steel pipe manufacturing process is completed by multiple processes. And on the automatic production line, the transfer process between steel pipe working procedure is realized by the steel pipe transfer device. The unreasonable structural design of related parts in the steel pipe transfer device will result in the failure of the steel pipe transfer process to proceed smoothly, which will directly affect the normal operation of steel pipe production line, resulting in steel pipe productivity’s decrease and causing losses to steel pipe manufacturers. This article proposes an improved design method of the turnover mechanism of transfer device between steel pipe manufacturing processes.

Regimes of recognition on algorithmic media

This article examines ways in which people are seen, recognised, and made to matter by social media platforms. Drawing on Louise Amoore’s notion of ‘regimes of recognition’, I argue that social media platforms can be conceptualised as increasingly powerful arbiters of recognisability, determining the conditions of possibility of how people are seen and come to matter. Through an analysis of Twitter’s saliency detection algorithm, which automatically crops images uploaded to the platform, the article highlights how social media platforms participate in producing novel modes of recognisability, that is, conditions by which people are rendered visible and invisible within or by the platform. Moreover, the article highlights how regimes of recognition on algorithmic media shape people’s parameters of attention and perception more generally through what I call the automatic production of ‘consistent’ lines of sight. Ultimately, the article seeks to highlight how the notion of recognition is increasingly arbitrated in and through algorithmic media and how this is fraught with political issues and tension. As such, there is an ongoing need to critically examine the power of social media to render people visible and invisible.

Automatic Equipment Design of Intelligent Manufacturing Flexible Production Line Based on Industrial Motorized Spindle

Based on the previous research on the production line automation, this paper carries out further research and further design and development on the basis of the original production line automation equipment. In this paper, the overall design of the automatic production line is carried out, and the various systems in the automatic production line are optimized, and the backward instruments are eliminated, and then some more advanced and convenient instruments are applied. Then, the hardware and software of the automatic production line are studied respectively, and the human-computer interaction module and real-time main control circuit module are re developed, and the electric shaft is applied to the automatic production line. Finally, the fuzzy PID controller of the stepping motor is designed. The experiment shows that the fuzzy PID control scheme is better than the traditional PID control scheme. After the rationalization of the system, the quality robustness of proactive planning is improved obviously. Then, the temperature of motorized spindle was tested.

PENGEMBANGAN MESIN PAKAN OTOMATIS MEMANFAATKAN ENERGI MATAHARI UNTUK BUDIDAYA BIOTA AIR SEBAGAI SALAH SATU SOLUSI KETAHANAN PANGAN DAN PEMANFAATAN ENERGI TERBAHARUKAN DI MASA PANDEMI

The province of Aceh is known for its coastal area which has enormous potential for the development of aquaculture of aquatic biota, both freshwater and saltwater communities. The potential for production from freshwater and saltwater fish businesses will be even more exciting in 2021. This is because the amount of fish consumption per capita of the world's population reaches 19.6 kg per year. This value is obtained from the results of estimates through the United Nations Food Agency in 2011. For this matter, various matters relating to the cultivation system must be prepared, starting from the stage of the enlargement process to the stage of feeding or baiting which is more regular and has precise calculations. The purpose of making this automatic feed machine product is to make it easier for aquatic biota cultivators the process of feeding aquatic biota in ponds and ponds through the development of an automatic feed distribution system equipped with systematic timing. With this equipment, the perpetrators of cultivating aquatic biota are able to provide feed easily and regularly so that it helps avoid aquatic biota experiencing a lack of feed which ends in death. The biggest benefit is that cultivators have time savings as well as labor cost savings. The results of this equipment manufacture in the form of a feed control system and feed spreader automatically assisted by the supply of solar power directly to the solar panel so that it is able to convert light energy and sunlight into electrical energy. The output of this product is expected to be able to provide the right solution to cultivators in increasing income and making it easier to use easy and efficient tools.

Application of TRIZ Theory in the Design of Cross Arm Rotating Clamping Mechanism

In order to solve the problem of the stainless steel pipe falling off during the debugging process of the cross arm rotating clamping mechanism, the TRIZ theory is applied to the innovative design of the mechanism. Firstly, the problem description, causal analysis and function analysis are carried out, then the invention principle and separation principle of conflict resolution theory and the standard solution of substance-field analysis model are used to solve the design problem. After feasibility evaluation, the optimization schemes such as changing the clamping direction and increasing the shape of the clamping rubber bulge are obtained. The optimized cross arm rotating clamping mechanism is applied to the stainless steel tube automatic packaging production line, which solves the problem of the stainless steel tube falling off, and provides a reference for the design of similar clamping mechanism.

Mapping Relation between Contour Error Components of Crankshaft Pin Journal and Axis Position Control Error of Oscillating Grinding Machine.

Automatic crankshaft production lines require high reliability and accuracy stability for the oscillating grinding machine. Crankshaft contour error represent the most intuitive data in production field selective inspection. If the mapping relation between the contour error components of the crankshaft pin journal and the axis position control error of the oscillating grinding machine can be found, it would be great significance for the reliability maintenance of the oscillating grinding machine. Firstly, a contour error decomposition method based on ensemble empirical mode decomposition (EEMD) is proposed. Secondly, according to the contour generating principle of the pin journal by oscillating grinding, a calculation method to obtain the effect of the axis position control error of the oscillating grinder on the contour error of the pin journal is proposed. Finally, through the grinding experiments, the error data are acquired and measured to calculate and decompose the contour error by using the proposed methods for obtaining the mapping relation between the crankshaft pin journal contour error and the axis position control error. The conclusions show that the proposed calculation and decomposition methods can obtain the mapping relation between the contour error components of the crankshaft pin journal and the axis position control error of the oscillating grinding machine, which can be used to predict the key functional component performance of the machine tool from the oscillating grinding workpiece contour error.

Phase analysis and corrosion behavior of brazing Cu/Al dissimilar metal joint with BAl88Si filler metal

Abstract To meet the requirements of automatic production, a new type of green BAl88Si cored solder was developed. The lap brazing experiments were carried out with copper and aluminum as brazing substrates. The microstructure, phase composition, and corrosion behavior of solder joint interface were studied by field emission scanning electron microscopy, energy dispersive spectroscopy, transmission electron microscopy, electron backscattering diffraction, tensile testing machine, and electrochemical workstation. The results show that the brazing joint of Cu/BAl88Si/Al is metallurgical bonding, and the brazing joint of Cu/BAl88Si/Al is composed of Cu9Al4, CuAl2, a-Al, (CuAl2 + a-Al + Si) ternary eutectic. In addition, there is no obvious preference for each grain in the brazing joint, and there are S texture {123}<634>, Copper texture {112}<111>, and Brass texture {110}<112>. The interface of Cu9Al4/CuAl2 is a non-coherent crystal plane and does not have good lattice matching. The average particle size of CuAl2 is 11.95 µm and that of Al is 28.3 µm. However, the kernel average misorientation (KAM) value at the brazed joint interface is obviously higher than that at the brazed joint interface copper, so the defect density at the brazed joint interface aluminum is higher than that at the brazed joint interface copper. At the same time, due to poor corrosion resistance at the interface on the aluminum side of the brazed joint, serious corrosion spots and corrosion cracks occur at the same time, which leads to the shear performance of the brazed joint decreasing by about 75% after salt spray test for 240 h.