Plastic Injection Machine Research Articles

Design and analysis of a 4-axis cartesian robot for unloading plastic injection machines in industrial applications

In both industrial and educational settings, efficient handling of products from Plastic Injection Machines is crucial for precise and stable system operation. Enhancements in the design and production processes, achieved through the implementation of a Four Axis (4D) BOM type Cartesian System, lead to significant improvements in cost-effectiveness and product quality. In this study focuses on optimizing system operations, including rotational movements and the operation of the vertical cylinder through forward-backward movements. Finite element analysis is employed to investigate potential issues arising from shape changes in the mechanical structure due to dynamic loads on the plate joint connections. By addressing these concerns during the design phase through simulation, mechanical structure errors are eliminated, resulting in improved system performance.

Design Of A Heating System In A Plastic Injection Molding Machine With A Working Temperature Of 250 C

The working system of the heating process on a plastic injection molding machine needs to be considered in more detail. Due to the influence of temperature and the type of material according to the quality of the product. In this study, the plastic injection machine that used a temperature variation used several different variations, and three experiments were given at each temperature variation of 200°C – 250°C using 75 grams of plastic material with a heating time of 120-141 seconds and 150 grams of plastic material with a heating time of 120-141 seconds. Warm-up 210-250 seconds. Temperature control using the REX C100 Controller. The injection machine can operate according to the design. Namely, the heating temperature can be adjusted. Implementation and control of the control system show a good response. The plastic to be melted is of the HDPE (High-Density polypropylene) type with a temperature for melting the plastic of 250°C.

DESIGN AND SIMULATION OF PLASTIC INJECTION MACHINE FOR PET (POLYETHYLENE TEREPHTHALATE)

PET (Polyethylene Terephthalate) material is widely used for several industries, especially the electronics industry. This study conducted a design and simulation for the manufacture of cases for smartphones using plastic injection machines for the manufacturing process. On the simulation results, it is found that the filling process, temperature and pressure have similarities, namely the distribution starting from the filling center point to the end of the casing design. Defects in manufacturing results are one of the failures of the production process and in this study, it is very rare to find research results that analyze predictions of defects in the smartphone case manufacturing process. On this simulation, defects were able to be detected in the simulation results of the casing design such as line defects and defects due to air bubbles. This research has succeeded in making an overview of the filling process, temperature, pressure, and early detection of defects in the injection process.

Two Phases Anomaly Detection Based on Clustering and Visualization for Plastic Injection Molding Data

The importance of smart factory is increasing. Among them, the importance of sensor data-based anomaly detection research is increasing. Accordingly, this paper presents a framework by using sensor data of plastic injection machine and deep learning models to perform anomaly detection and cluster secured outliers. This study aimed to be a practical solution and proposal for factories that want to introduce smartfactory system. According to this goal, three main contributions are assumed. The three main contributions are as follows. First, assuming a situation suitable for the manufacturing site, and appropriate approach was used. Second, it is possible to secure outliers by applying Auto Label using with pseudo labeling technique. Third, the decision maker can identify the potential cause of the defect. These three advantages can be found in the Two Phases Anomaly Detection system architecture. The artificial intelligence model used as a classifier in the pseudo labeling technique was LSTM and Accuracy showed high reliability of more than 90%. And through the SOM algorithm, clustering visualization of defective data is shown.

PLANNING AND SCHEDULE OF MAINTENANCE WORKS FOR INJECTION MACHINES

Keeping the equipment and machinery in working order is a very important activity in the field of industrial production, being specific to the maintenance department within an enterprise. Ensuring an optimal in operation of the manufacturing systems is closely related to the prevention of defects, an action that must be found in a planning and scheduling of preventive-planned maintenance works. In the paper, in addition to the introductory part on the main objectives and implementation of the maintenance system and maintenance-specific operations, a case study is conducted for the planning and organization of maintenance in a company equipped with plastic injection machines. The main stages developed consisted in elaborating the maintenance plan, establishing the optimal moment for replacing the machine tools, choosing the optimal type of machine tool and establishing the elements of random wear of the machine tools. It is concluded that the optimal type of injection molding machine that will be chosen to replace the T10 injection molding machine is T14, because it has a minimum average cost of acquisition, maintenance and repair, respectively 42.286 UV.

Rancang Bangun Mesin Injeksi Plastik dengan Sistem Penekan Pneumatik

Trash is waste that is produced from a production process, both industrial and household in the form of solid or semi-solid in the form of organic or inorganic substances which are biodegradable or non-biodegradable which are deemed useless and disposed of into the environment. The disposal of waste, such as the increasing number of plastics, provides benefits for plastic recycling craftsmen so that a plastic smelter is needed to make various forms of molds (molds). Injection Molding is one of the techniques used in producing plastics and this process is among the most cost efficient to produce printed objects / products. But in general, most of these techniques still use a manual system, namely using a lever as a pressure in printing (vertical form). We tried to make a plastic injection machine with ashape horizontal and use a pneumatic cylinder as the actuator for pressing. Design of Plastic Injection Machines with a Pneumatic Pressing system with LDPE type plastic test materials, using 8 bar pressure and 690 watts ofband heater elements

ANALISIS CETAKAN INJEKSI PLASTIK IMPELLER POMPA AIR PADA KAPAL NELAYAN APLIKASI CAD/CAE/CAM

Most of the fishermen in Indonesia, using pumps to drain water in the ship. The use of pumps insea water often lead to rapid corrosion, especially on the impeller. Impeller manufacture of plasticmaterials is an alternative to solve this problem. Stages in the designing mould of plastic impeller is with3D and 2D drawing, choose a suitable polymer material, making mold of product, selecting componentsof mold and simulating the result. In designing mould of plastic impeller used software to simulate theplastic mould with mould parameters plastic inserts to get the best results before the completion ofproduction. As for plastic injection machine that is used to clamp force 1000 ton capacity with 8 pieces ineach injection products and using nylon material, 281,1oC temperature parameters, 62 sec of cycle timeand 80,552 MPa pressure.

Forecasting neural networks, such as forecasting sale the plastic injection machine market

The aim of this research is to show what benefits the use of neural networks in forecasting processes can bring, among its development through out the years considering different kinds of mathematical methods. The software applications that have been developed recently for forecasting processes are neural and AI-based. Data entries from previous months are used in mathematical methods to calculate and predict sales in a company. By the use of these neural and AI-based processes, predictions of whether company sales will go up or down the next month can be made. This research will help to better understand the process behind these predictions and how the developments of neural networks come into place.

Analisis tegangan pada struktur mesin pencacah plastik menggunakan metode elemen hingga (MEH) dan uji kerja mesin pencacah plastik

Plastic is a non-biodegradable material. Plastic waste must be processed using processing machines or other processing methods such as processing plastic into fuel and other forms of products. Plastic waste processing machines are available in plastic shredding and injection machines. The performance of plastic shredding and injection machines depends on the plastic waste treated, the shape of the cutting edge, the structural strength of the plastic shredding and injection machines and others. The strength of plastic shredding and injection machines can be calculated by means of simulation using the finite element method (FEM). This method will save costs, selection of materials and cutting edge shapes quickly and easily and soon. In this study, FEM was used to simulate the design strength of a plastic shredding and injection machines in the form of pressure and displacement, followed by the manufacture of plastic shredding and injection machines and the work test of plastic shredding and injection machines. From the simulation results using FEM, the maximum voltage and structural displacement of plastic cutting and injection machine is 4.57 MPa and 0.031 mm and work test showed the machine can cut 800 grams of plastic waste in 278 seconds with motor rotation of 176 rpm, current 6.8 A, active force. Electrical load 1214.4 watts and torque 44.74 lb.ft.

Information System for Selection of Production Line for Plastic Item Injection Machine Number A36 Using Priority Scheduling Method

A PT. Astra Components Indonesia manufactures injection plastic goods to be sent to customers, in the production process the machines used are capable of producing several types of injection plastic goods, so that products can be provided regularly and there is a process of changing products or better known as the Dandory process. Found an obstacle that is an error in determining the order of dandory for production. Consequently, the condition of goods in the warehouse is irregular. It is detrimental to the company with the time, material and labour that has been expended for production so that an Information System is needed to determine the priority schedule for the replacement of injection plastic goods in this study taking the case at machine number A36. The system development uses the Waterfall method; the system description will be described by the Unified Modeling Language Modeling (UML) method. Data collection is done by observing directly observing production activities in the company as well as interviews with relevant parties, and for solving problems, the system will be assisted by Priority Scheduling method. The results of the research get an information system that will provide recommendations for items that will first be produced appropriately.

A two-stage solution approach for plastic injection machines scheduling problem

One of the most common plastic manufacturing methods is injection molding. In injection molding process, scheduling of plastic injection machines is very difficult because of the complex nature of the problem. For example, similar plastic parts should be produced sequentially to prevent long setup times. On the other hand, to produce a plastic part, its mold should be fixed on an injection machine. Machine eligibility restrictions should be considered because a mold can be usually fixed on a subset of the injection machines. Some plastic parts which have same shapes but different colors are used same mold so these parts can only be scheduled simultaneously if their mold has copies, otherwise resource constraints should be considered. In this study, a multi-objective mathematical model is proposed for parallel machine scheduling problem to minimize makespan, total tardiness, and total waiting time. Since NP-hard nature of problem, this paper presents a two-stage mathematical model and a two-stage solution approach. In the first stage of mathematical model, jobs are assigned to the machines and each machine is scheduled separately in the second stage. The integrated model and two-stage mathematical model are scalarized by using goal programming, compromise programming and Lexicographic Weighted Tchebycheff programming methods. To solve large-scale problems in a short time, a two-stage solution approach is also proposed. In the first stage of this approach, jobs are assigned to machines and scheduled by using proposed simulated annealing algorithm. In the second stage of the approach, starting time, completion time and waiting time of the jobs are calculated by using a mathematical model. The performance of the methods is demonstrated on randomly generated test problems.

The Proposed Maintenance Task for Plastic Injection Machine Using Reliability and Risk Centered Maintenance (RRCM) method in Manufacturing Industry

The objective of this research was to determine the optimal maintenance time interval for the selected critical components and the total cost of maintenance of a plastic injection machine. In determining the critical components, a risk matrix was used, and three components were selected, namely, hydraulic hose, barrel, and motor. Using the Reliability and Risk Centered Maintenance (RRCM) method, the researchers got a proposed maintenance policy and the total maintenance cost. Based on the result, it shows that there are seven proposed maintenance tasks with three scheduled oncondition tasks and four scheduled restoration tasks with an average maintenance interval of two months. The total maintenance cost proposed is IDR91.595.318. The cost is smaller compared to the actual maintenance costs of the company.

Application of Neural Networks to Explore Manufacturing Sales Prediction

Manufacturing sales prediction is an important measure of national economic development trends. The plastic injection molding machine industry has its own independent R and D energy and mass production technology, with all products sold globally through international brands. However, most previous injection molding machine studies have focused on R and D, production processes, and maintenance, with little consideration of sales activity. With the development and transformation of Industry 4.0 and the impact of the global economy, Taiwan’s injection molding machine industry growth rate has gradually flattened or even declined, with company sales and profits falling below expectations. Therefore, this study collected key indicators for Taiwan’s export economy from 2008 to 2017 to help understand the impact of economic indicators on injection molding sales. We collected 35 indicators, including net entry rate of employees into manufacturing industries, trend indices, manufacturing industry sales volume indices, and customs export values. We used correlation analysis to select variables affecting plastic injection machine sales and artificial neural networks (ANN) were applied to predict injection molding machine sales at each level. Prediction results were verified against the correlation indicators, and seven key external economic factors were identified to predict accurate changes in company annual sales prediction, which will be helpful for effective resource and risk management.

Menurunkan angka rework pada proses burritori di line injection moulding dengan metode PDCA

Case heater & case blower is one of component product used to make car air conditioner. The function of case heater & case blower is as a holder for various car A/C components. Case heater & case blower is produced with a mould with the support of plastic injection machine. The process is to inject the material melt into the mould. When the product comes out of the machine, it checks the product to remove the burr on the product. Burr is a minor type of defect in the product, meaning the product can still be said OK but an additional process should be done to clean the product. Additional process is called burritori, which is a process to clean burr by using cutter. Allowed burr standard of 0.1 ~ 0.3 mm, above it must be done burritori process. With the company's slogan of QUALITY FIRST, the quality of product is very important. Therefore the burritory process can not be eliminated. With the burritory process, so have additional man power to do that activity. Actually unneeded additional man power to do burritori process if product out of mould in good condition that there is no burr on product. This study aims to improve product quality by addressing the product burr problem after being out of mold. So with the increased product quality that is the absence of burr, then the burritory process previously done no longer need to be done because the product comes out of the mold already good quality (no burr). In this research using PDCA method in solving existing problems.

Study on Designing the Extruder for 3D Printers with Pellets

Abstract The purpose of the paper is to design an extruder to ensure continuous flow of material and retraction of the melted material into the extruder of the printers operating with pellets ABS, PLA or other materials used. The way in which 3D printers work differs from that of plastic injection machines by the fact that for the execution of a piece it is necessary for the extruder to position itself at different points of the surface without depositing the material. If it does not stop the flow of material during the repositioning move, then the executed piece will be compromised. Designed pieces were designed with the help of the Inventor Software and it was determined experimentally whether the extruder is working. It was found that the original design did not fully meet the requirements of the coat-coat process, which is why rethinking of the extruder’s operation and modifications to ensure retraction of the material is necessary.

Evaluation of the plastic injection machine maintenance system through the TOPSIS method

The following document talks about the parameters of the maintenance system implemented in plastic injection machines of a maquiladora company located in Ciudad Juarez Chihuahua. The method used in this investigation is essentially ulti-criteria decision making, the technique for the order of preference for similarity to the ideal TOPSIS solution. Therefore, an evaluation of the maintenance system is carried out, using measurable collected in said company. With this evaluation the plastic injection machine is determined in better conditions, as well as the machine in worse conditions, which helps management to make better decisions regarding each machine. The objective of this research is to address the study of decision-making in the industrial field specifically in the maintenance system of plastic injection molding machines.

A Hierarchical Approach for Solving Simultaneous Lot Sizing and Scheduling Problem with Secondary Resources

This study represents a decomposition heuristic approach for simultaneous lot sizing and scheduling problem for multiple product, multiple parallel machines with secondary resources. The motivation of the study comes from the real-world instance of a plastic injection plant at Vestel Electronics. The plastic injection plant requires plastic injection molds at the planner’s disposal, in order to produce variations of products, by the compatible plastic injection machines. The variations on the molds and the mold changes on the machines bring out sequence dependent major and minor setups. Since each machine requires an operator, we have extended the formulation with workforce and shift planning. Results show that proposed heuristic yields comparable solutions to that of exact model for small and medium size instances; and provides schedules for the large size instances, for which exact model cannot find a feasible solution in the allotted time.

Experimental and Statistical Investigation of Production of Polyethylene + Eva Mixture Material with Plastic Injection Machine at Different Parameters

Bu çalışmada ünlü bir otomobil markasının klima sisteminde bulunan bir Polietilan+Eva karışımı malzemenin plastik enjeksiyon makinesi ile üretimi gerçekleştirilmiştir. Deneylerde kullanılan parametreler ürün maliyetini en aza indirmek için Taguchi L27 dizisiyle tasarlanmış olup elde edilen sonuçlar istatistiksel olarak incelenerek parametrelerin ürün yüzey kalitesi ve ağırlığına etkisi araştırılmıştır. Deneylerde kullanılan parametreler Enjeksiyon Basıncı (30-60-90 Bar), Enjeksiyon Hızı (30-60-90 cm^3/s), Ütüleme Basıncı (40-60-80 Bar), Ütüleme Hızı (40-60-80 cm^3/s) ve Vida Dönme Hızı (50-60-70 cm^3/s) olarak seçilmiştir. Yapılan çalışmanın sonucunda; yanıt tabloları incelendiğinde ürünlerin ağırlık değerleri için en etkili parametrenin A1B2C1D1E1 olarak oluştuğu, ANOVA sonuçları incelendiğinde ise etki parametrelerine göre en etkili parametrenin % 32,18 ile Enjeksiyon Basıncı, en düşük etkili parametrenin ise % 1,31 ile vida dönme hızı olarak tespit edilmiştir.

A Novel Method for Manufacturing Polymer/Metal Hybrid Structures

In this study, a method for manufacturing polymer/metal hybrid structure is presented in which traditional plastic injection machine was converted to plastic injection forming (PIF). In this method, deforming of the metal and adhering the metal to the polymer is done in one step. In the experimental study, a special mold within rectangular cavity was used during PIF process. Aluminum plates of different thicknesses were used as the metal parts of the structure. The injected polymers were pure polystyrene and elastomer-added polystyrene. The deformability of the Al plates was examined under different injection pressures. In order to provide adhesion between metal and polymer, an adhesive of elastomeric nature was applied on the metal plate prior to injection molding. Bending test was applied to determine the flexural strength and maximum deflection of the polymer/metal hybrid structures. The obtained results were satisfactorily acceptable in improving the method for designing and manufacturing polymer/metal hybrid structures in one step.

Study on Elastic Dynamic Model for the Clamping Mechanism of High-Speed Precision Injection Molding Machine

This work centered on the double-toggle clamping mechanism with diagonal-five points for the high-speed precise plastic injection machine. Based on Lagrange equations, the differential equations of motion for the beam elements are established, in a rotating coordinate system and an absolute coordinate system, respectively. 43 generalized coordinates and a model matrix for the mechanism are created and some coordinate matrices are derived. By coupling the coordinate transformation and matrix manipulation, a high nonlinear and strong time-variant elastic dynamic model is obtained. Based on the dynamic model, a Kineto-Elasto Dynamics (KED) analysis and a Kineto-Elasto Static (KES) analysis are carried out, respectively. By comparing and analyzing the simulation results of KED and KES, the regularity of elastic vibration of the clamping mechanism in high-speed clamping process has been revealed.