Automation of Injection Molding: Opportunities and Trends

Máté Nagy

Injection molding is one of the most widely used plastic processing technologies and plays a key role across numerous industries. The automation of injection molding has become one of the key drivers of modern industrial manufacturing, significantly contributing to increased productivity, reduced operating costs, and consistent product quality.

Rising raw material and energy costs, human resource shortages, and growing quality expectations are increasingly forcing plastic part manufacturers to implement automation solutions. The purpose of this article is to provide a brief overview of the automation possibilities within the injection molding process and the advantages of implementing such technologies.

Automated material supply system

Proper drying of plastic raw materials and their controlled delivery to the injection molding machine are essential for ensuring a stable and defect-free production process. Material handling has a direct impact not only on productivity, but also on the quality of the final product. 

Excessively long drying times or drying at unnecessarily high temperatures (overdrying) may cause degradation of the plastic material. On the other hand, insufficient drying time or low drying temperatures (underdrying) can leave residual moisture in the material, which may also lead to material degradation during processing, reduced product quality, and further processing difficulties. This is particularly critical in the case of moisture-absorbing, so-called hygroscopic plastics (such as PA, PC, ABS, and PET). These factors, along with fluctuations in drying temperature and drying time, can introduce significant instability into the manufacturing process.

We can meet mainly with two different approaches in the industry. Injection molding companies can use centralized material supply systems or local systems installed directly next to the injection molding machine.

With centralized automated systems, conveying units and central drying equipment ensure that the raw material always transferred to the injection molding machine with the proper condition. These highly automated systems are capable of continuously monitoring material moisture content, temperature, and consumption rates, thereby minimizing the possibility of human error. Centralized systems require less human intervention during operation and can supply multiple injection molding machines simultaneously. An additional advantage of automated material handling is the reduction of material waste, optimized energy consumption, and helps to improve cleanliness of the production area.

1. ábra - Központi alapanyag ellátó rendszer felépítése1) alapanyag tárolók 2) szárító egységek 3) alapanyag-továbbító rendszer 4) fröccsöntőgépek
Figure 1 – Structure of a centralized material supply system 1) material storage units 2) drying units 3) material conveying system 4) injection molding machines

A lokalizált alapanyagellátó rendszerek előnye az alacsonyabb beszerzési költségük, rugalmas telepíthetőségük, azonban mind az üzemeltetés, mind felügyeleti szempontból jelentős hátrányokkal bírnak egy jól megtervezett központi alapanyagellátó rendszerhez képest.

2. ábra - Lokalizált alapanyag ellátó rendszer felépítése1) alapanyag tároló 2) szárító egység 3) alapanyag-továbbító rendszer 4) fröccsöntőgép
Figure 2 – Structure of a localized material supply system 1) material storage unit 2) drying unit 3) material conveying system 4) injection molding machine

Automated part handling

The use of robots has become essential in modern injection molding plants and represents one of the most important areas of automation. The purpose of applying robots is to ensure that the handling of parts leave the injection molding tool is carried out faster, more precisely, and more reliably than in manual operation. The use of robots not only increases productivity but also significantly improves the stability of the manufacturing process, thereby enhancing the quality of the finished product.

A typical application area is the insertion of over molded component into the mold prior to injection molding, or the automatic removal of parts from the mold. During the injection molding process, the robot manipulates the required components with fast and precise movements and then transfers them to the next production step. After part removal, this may be quality inspection, assembly process, packaging, or even direct palletizing of goods.

One of the greatest advantages of robotic part handling is the stabilization and reduction of cycle time. Since robots operate continuously without interruption, production becomes more stable and predictable. In addition, the number of human errors is significantly reduced, which directly lowers scrap and maintenance costs and improves product quality. In injection molding plants, linear three-axis robots or more complex multi-axis robots are used.

Three-axis linear robots are suitable for simpler, fast, repetitive motions. Their advantages include high speed, easy programmability, and lower investment costs. If necessary, additional rotational axes can be mounted on the end of the robot arm; however, these reduce the maximum payload capacity of the robot.

Figure 3 – Structure of a three-axis linear robot with a rotatable C-axis
Figure 3 – Structure of a three-axis linear robot with a rotatable C-axis

Six-axis robots, whether industrial robots or collaborative robots, offer a significantly higher degree of freedom, enabling them to perform more complex tasks such as assembly or labeling, obviously at a higher cost level. Some certain operations can only be carried out using this type of equipment, due to their complexity.

Figure 4 – Application of a six-axis robot

Despite its many advantages, the implementation of robotic automation also requires significant upfront planning and investment. When selecting the appropriate robot, factors such as production volumes, product geometry, cycle time, and available space must be taken into account. In addition, proper training of operators and regular maintenance of the system are essential. Overall, automated part handling can provide a significant competitive advantage for manufacturing companies, offering rapidly achievable returns in terms of human resource efficiency and the maintenance of long-term competitiveness.

Automated quality inspection and control

The automation of quality control is also an important application area in modern injection molding production, as it has a direct impact on the scrap rate, and consequently on costs and customer satisfaction. Due to increasing market expectations and strict quality requirements, it is of critical importance for manufacturing companies to detect and correct production defects immediately during the process. Automated quality control systems play a key role in this, as they provide faster, more accurate, and online inspection compared to periodic manual checks.

During injection molding, a number of defects may occur that negatively affect the quality of the finished product, e.g. dimensional deviations, flash formation, issues caused by material shortage, or surface irregularities. In many cases, manual inspection is no suitable for detecting these kind of defects, especially in high-volume production, where thousands of parts can be produced within a few hours. Automated systems are capable of inspecting every single product quickly, continuously, and repeatedly, while providing immediate feedback on the results.

Modern quality control is most commonly based on camera systems and sensors. Camera inspection systems capture high-resolution images of the products, which are then analyzed by specialized software against predefined parameters or reference picture. These systems can detect even the smallest surface defects, shape deviations, or dimensional differences. The speed of automated inspection is extremely high, allowing it to be performed without slowing down the production cycle.

Figure 5 – Application example of a Keyence vision camera system
Figure 5 – Application example of a Keyence vision camera system

One of the greatest advantages of automated quality control is continuous and objective evaluation. While in manual inspection human attention may decrease, for example due to fatigue, automated systems inspect every product according to the same criteria. This significantly improves the fast and online detection of issues and reduces the number of defective parts, thereby lowering the risk of shipping non-conforming products.

Modern systems are not only capable of detecting defects but can also support the optimization of the manufacturing process. Cameras and sensors continuously collect production data, such as product quality, cycle time, temperature, or pressure values. By analyzing this data, it is possible to quickly identify trends that may later lead to defects or scrap generation. This approach enables early warnings before actual defects occur.

Figure 6 – Information provided by data acquisition units
Figure 7 – Theoretical structure of a closed-loop auto-correcting system

The automation of quality control also requires high investment and professional expertise. Faster defect detection, lower scrap rates, and more stable product quality not only result in long-term cost savings but also strengthen customer trust and the company’s market position. Successful implementation also requires a detailed analysis of manufacturing processes and the training of employees.

Conclusion

Automation is not only a technological improvement, it is a strategic decision. Although the introduction of automation may require significant initial investment, in the long term it can result in a competitive advantage and substantial cost savings. In all cases, it is important to carefully evaluate whether the automation solution is feasible and investment is economically viable. In certain situations, the better decision is to implement partial or simpler automation rather than introducing an overly complex system that operates unreliably and therefore fails to pay off.

In the future, the role of intelligent (e.g., AI-supported) systems in manufacturing processes is expected to further increase. Companies that adapt to these technological trends in time and invest in collecting and properly interpreting relevant data can achieve more stable operations, higher quality, and a stronger market position in the long term.

Figure 8 – Vision of an injection molding plant operating according to Industry 4.0 principles

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