This year, the world’s leading trade show K has succeeded in presenting practical solutions for greater resource efficiency on a broad front. A first foray through the trade show grounds.

K 2022 gave numerous practical examples showing visitors how recyclates can be reliably processed with digital aids.

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State-of-the-Art Injection Molding Solutions for Greater Resource Efficiency.

State-of-the-Art Injection Molding Solutions at K 2022

Spritzgießen

Kunststoffverarbeitung: Verfahren

Doriat, Clemens, Dr.

Solar / PV

Energieerzeugung

Erneuerbare Energie

Schaumspritzgießen

Temperiertechnik

Messe K-Kunststoffmesse

kunststoffe-international.com

Mehrkomponenten-Spritzgießen

Condition Monitoring / Prozessüberwachung

Instandhaltung

Spritzgießwerkzeuge

Kunststoffverarbeitung: Maschinen und Komponenten

Werkzeuge für die Kunststoffverarbeitung

Biokunststoffe

Kunststoff Werkstoffe

Handling, Handhabungstechnik

Automatisierungstechnik

Elastomer-Spritzgießen

Oberflächentechnik

Energieeffizienz

Industrie 4.0 für die Kunststoffverarbeitung

Industrie 4.0

Digitalisierung

Spritzgießmaschinen

Kunststoff-Rezyklat

Silikonkautschuk

Kautschuk / Elastomere

Kreislaufwirtschaft

Compoundieren

Kunststoff-Aufbereitung

It Can Be Done!

Maintaining competitiveness while producing in Germany requires not only cost-efficient production, but also high-quality products. Vorwerk Elektrowerke is accepting this challenge. In collaboration with the Institute of Product Engineering at the University of Duisburg-Essen, Germany, the company is testing a 100 % inline quality monitoring system as well as a quality prediction using machine learning.

Customers who choose the Kobold VK 200 vacuum cleaner expect top quality. To ensure this, efforts for the introduction of Industry 4.0 measures are taken in the production plant in Wuppertal, Germany

Successfully Managing Digital Transformation with Automation and Artificial Intelligence

Industrie 4.0 für die Qualitätssicherung

Künstliche Intelligenz für die Qualitätssicherung

Digitale Transformation

Wirtschaft

Innovationen und neue Technologie

Kameras, intelligente

Fertigungsautomation

Bildverarbeitung

Machine Learning / Künstliche Intelligenz für die spanende Fertigung

Industrie 4.0 für die spanende Fertigung

Datenanalyse

Inline- / Online-Messsysteme

Qualitätssicherung

Qualitätssicherung Kunststoff

Inline Quality Monitoring and  Data-Based Quality Prediction

Once again, the K 2019 in Düsseldorf, Germany, lived up to its claim to be the leading trade show for plastics technology. At least in the field of injection molding, there were exciting global innovations to see – if you looked closely.

Fig. 1. Smart Operation – the machine is operated with only four buttons (© KraussMaffei)

Injection Molding Trends at K 2019

Smart Factory

Mikrospritzgießen

Spritzgießmaschinen, allgemein

Fließpressen

Handling, Handhabungstechnik für die spanende Fertigung

Spritzgieß-Sonderverfahren

Spritzgießsimulation

Software

Simulation

Linearroboter für die Kunststoffverarbeitung

Industrieroboter

Montagetechnik

Montage-Spritzgießen

Knickarmroboter

Co-Injektion (Barriere-/Sandwich-Spritzgießen)

Hybrid-Spritzgießen (Metall / Kunststoff)

Ressourcenmanagement

Produktion

Technical Excellence thanks  to Digital Assistance

Arburg has adopted a clear message for its trade fair appearance at the K 2022 in Düsseldorf: „There is only a Plan A“.

In the arburgGreenworld pavilion of the VDMA Circular Economy Forum, an Allrounder 370 A with recyclate package is manufacturing “Greenline” wall plugs from Fischer.

Nachhaltigkeit

Umweltmanagement

Sustainability thanks to Digitalization

Lightweight construction, small batches, and progressive integration of electronic functions: general industrial trends are spilling over into the injection molding industry. Recent years have seen the development of remarkable solutions for meeting all kinds of requirements. Machine manufacturers have not been idle though: precision-regulated processes form the basis for many applications, and now it seems that the self-optimizing injection molding machine is no longer a fantasy. 

Visible and Invisible Innovations Continue to Confer Benefits on the Industry.  And on Mankind, too? 

Steuern, Regeln

Additive Fertigung

Metallpulver-Spritzgießen

Folientechnik (IMD, IML, FIM, u.a.)

Laserstrukturieren

Nobel Prize for Injection Molding 

Making a racket is part of the trade. In the past, tradesmen would do this at markets by swinging wooden rattles to attract attention. Today, instead, it is the industry which is trying to make its developments heard and accepted, for example at trade fairs and in the media. What has injection molding technology had to offer recently, aside from Industry 4.0? The answer is process developments that in the main expand the range of applications for plastic parts, mechanical assistance systems that enable consistently high part quality to be achieved more reliably, and the huge field of temperature control. 

New Ways to Attain Special Part Properties Are Advancing the Art of Injection Molding 

Verbundwerkstoffe / Werkstoffverbunde

Making a Racket for Plastics  

Under the motto “It‘s all Wittmann”, Wittmann Battenfeld is presenting its machines and systems in the new Wittmann design for the first time.

Automation cell with SmartPlus 90 for manufacturing a spirit level.

kunststoffe.de

Spritzprägen

Naturmaterialien

Verstärkungsstoffe

Green DC Current for the Injection Molding Machine

Industry 4.0, lightweight construction, and combined technology – that is how one could summarize the current trends and challenges that have been the subject of countless injection molding developments during the past years. In their advance releases for the K exhibition, exhibitors clearly indicate that they are continuing along these lines. 

Injection Molding between Industry 4.0, Lightweight Construction, and Combined Technologies 

Hybridtechnik

Reinraumsysteme / -technik

Trip to a Known Destination 

After a year’s forced break of Fakuma, Wittmann Battenfeld is announcing the new servohydraulic SmartPlus machine as the highlight of this year’s trade show. It is claimed to be characterized by high economic and energy efficiency and repeat accuracy.

The new SmartPlus machine is equipped with the HiQ Flow software and the CMS Light condition monitoring system

Messe Fakuma

Injection Molding Innovations In-House, Live and in Color

Guido Frohnhaus has been Managing Director Technology & Engineering at Arburg for a good two years now. The pandemic restrictions meant that he has made very few appearances outside the company so far, but, as he says himself, he spent the time getting to know the in-house processes at all levels and in great detail. In this interview with Kunststoffe, the 52-year-old talks about the course he plans to set and how crucial the high level of in-house manufacturing and programming expertise is for the company’s independence.

“Gestica Will Be the Fixed Star in the Customer’s Universe”

Flexibilization of production, lightweight design, functional surfaces, increasing product customization, consistently low reject rates etc. ¿ the OEM wish list is becoming longer and longer. While the OEMs are the main drivers in the injection molding segment, their mounting demands are challenging Tier 1 suppliers, mold makers and systems suppliers alike. For an interview, we met with specialists from GKTool and HRSflow, for whom the search for new solutions is daily routine. The topic is integration ¿ of ideas, processes and system partners. 

Christian Götze (GKTool) and Moreno Carvani (HRSflow) about Cost-Efficient Production through Integrated Mold Technology 

Normalien und Heißkanaltechnik

"With System Integration,  Fewer Errors Occur" 

Paint bucket or A-pillar finisher? In our thoughts and attribution of value, packaging items and high-tech components often represent opposites. Yet the two can complement one another – when you look at used packaging as a valuable raw material. At the fair, KraussMaffei will be showing the concept for a closed material cycle and is making plastics processing sustainable through this.

First a bucket or another plastic product, then raw material for further processing: the shredded post-industrial material

At the K, KraussMaffei Will Be Showing the Cycle from Product to Upcycling  to a New Product

Laserbeschriftung

Laserbearbeitungen

Rückverfolgbarkeit, Traceability

Qualitätsmanagement

Zerkleinerungsmaschinen

Greifer für die Kunststofftechnik

Today Packaging,  Tomorrow Raw Material

Time to take stock: in what condition and with what agenda is the industry presenting itself after two-and-a-half years of a difficult climate? We have conducted a survey: insights into the dominant themes of the age.

Preview of K 2022: Kunststoffe Questionnaire on the Situation in Injection Molding Machine Construction

Steuerungen (Hardware und Software)

Mess-, Steuer- und Regelgeräte

Kunststoff-Recycling

Harsh Realities

 At KraussMaffei’s booth, automotive door modules are produced from former caps of insulin pens. The system supplier is presenting not only the machine hardware necessary for this but also new digital solutions.

Digital solutions are an essential component of the material loop from the insulin pen cap to the car door module.

Medizinprodukte

Medizintechnik

From the Insulin Pen Cap to the Automotive Door Module

At K 2022, Engel, with its partners Alpla Group, Brink and IPB Printing, is presenting a quantum leap for the packaging industry. Thin-wall containers can for the first time be produced from PET directly by injection molding in only one process step.

Fig. 1. The thin-walled containers are injection molded from rPET.

Schmelzefilter

Polyethylenterephthalat

Thermoplaste

Processing rPET by Thin-Wall  Injection Molding

Innovative Injection Molding in Times of Pandemic

Over past months, many in-house workflows and development processes have slowed down and also changed. Nevertheless, time has not stood still, also not in injection molding technology. The debate and development have been shaped by two themes: digitalization and the circular economy. Below are some examples of developments and projects that underpin this trend.

Anyone trying to report on developments and innovations in times of the corona pandemic feels as though they are commenting on a soccer game that is not taking place. Trade shows, congresses, customer events and visits were being canceled for a long time or took place online, if at all. The following overview – written on a home computer, in order to illustrate some of the trends in injection molding – can therefore only be selective.

3D-Formed Plastic Panels with Integrated Displays

Continental uses a combination of film insert molding (FIM), in-mold decoration (IMD) and injection-compression molding to produce large, three-dimensionally formed instrument panels with integrated displays (Title figure). The challenge here is to synchronize the technical properties of displays arranged side by side regarding white point, color temperature, color coordinates and black homogeneity, and to harmoniously integrate the display surfaces into the lines of a cockpit [1].

To implement the project, Continental has combined several special injection molding processes. A two-dimensional printed film is first formed in the HPF (high pressure forming) process to the three-dimensional contour of the final part. This preform is subsequently inserted into a mold and back-molded by the FIM method. In the IMD process, the hard coating is finally applied to the part in a roll-to-roll process, which, in combination with injection-compression molding, ensures a very low stress distribution in the part. With the combination of all steps, according to Continental, this was a new process at the time of commissioning, in which the machines used are unique in the world.

The injection mold, into which the printed 3D film is inserted before back-molding, weighs a total of 16 t. Because of its complexity, it has a certain intelligence in the form of a programmable logic controller (PLC), which supports, e. g., operation by smartphone and WLAN. The PLC is responsible for monitoring and coordinating the over 60 actuators and sensors that are located in the mold, and independently handles the interplay between the injection molding machine and two further secondary ancillary units. Continental’s project is thus a flagship for innovation – strictly speaking the implementation of an idea as new products, services or processes – and for the interplay of technology and digitalization in injection molding.

New Approaches to Thermoplastic Foam Injection Molding

Foamed parts have a three-layer structure, in which a porous core is surrounded by two non-foamed cover layers. Classical density reductions in the TFIM (thermoplastic foam injection molding) process are around 10  %, as new developments in the tool and process technology permit (local) density reductions of up to 50  % – which greatly reduces the lightweight construction potential of this technology. Another advantage is the recyclability, since the sandwich structure consists of a single material.

Technically, the homogeneous gas pressure minimizes the warpage and improves the fidelity of reproduction, with the gases acting as “plasticizers” during processing: depending on the gas and concentration, the viscosity is reduced by up to 50 %, which under certain circumstances permits smaller machines to be used. The Institute of Polymer Injection Molding and Process Automation (IPIM) at Johannes Kepler University in Linz, Austria, together with the Competence Center Chase and Engel, is developing a new process technology which uses optimized plasticizing screws (Fig. 1), as well as new methods for inline determination of the gas solubility under dynamic conditions [2].

The key factor here is the compression modulus of the mixture, which characterizes the volume changes as a result of the pressure rise. Based on these methods, process optimizations are also possible, such as the automatic reduction of the back pressure to the technically necessary minimum in order to reduce wear and energy consumption and improve the conveying behavior.

Even greater potential for optimizing foam processes is offered by artificial intelligence (AI); specifically the use of convolutional neural network (CNN) developed and trained at IPIM for optimizing the part surfaces by the TFIM process. The goal is to find suitable process settings for unknown processes without having to perform complicated tests. In future, the system should be capable of automatically counteracting deviations from the set process in correlation with the setting parameters.

Mold-Integrated Assistance System for Process Control in Injection Molding

Based on algorithms from machine learning, the project partners Schneider Form GmbH and the University of Schmalkalden, Germany, are developing a “mold-integrated assistance system for production control in the injection molding of highly complex and challenging part specifications,” abbreviated to Wasabi [3]. The digital assistant conducts an indirect permanent quality control during a production cycle, taking into account the mold breathing that occurs in every injection molding process.

The output of the system is intended to ensure an understandably prepared assessment of the current process cycle, with which even inexperienced personnel can assess the process stability and part quality. The system shortens the start-up procedure for re-setting up molds, ensures permanent monitoring in the cycle, registers unnecessary mechanical stresses and support the setter and QM employee. According to the project partners, knowledge about the process should stay permanently where it is required, namely on the mold.

For development of the system, a car bumper was chosen as research object because of its complex and challenging part specifications. To determine the measurement data, a total of 26 sensors (cavity pressure, melt front, mold temperature, displacement measurement and mold breathing) were distributed through the two mold halves (Fig.  2). Over several series of tests, the database for the design of experiments (DoE) was created in order to determine the relevant influencing parameters for the quality of the target criteria. Local deformations of the mold could be demonstrated, which have a negative effect on the part quality (flash) and the mold lifetime. For the linear relationships between parameters and quality criteria, as well as interactions between the parameters, feature combinations for a targeted approach to machine learning were worked out with the aid of specially modified programs. A suitable machine learning method is support vector regression (SVR) from the family of Support Vector Machines.

Injection-Compression Molding in Utmost Perfection

The injection-compression process itself is not a world innovation. In combination with smart applications, such as backlit panels for automotive sports seats it is at least a challenge. The lighting technology specialist Lumitec, together with Arburg, has optimized the injection-compression molding of electroluminescent films. This multilayer film less than 1 mm thick is characterized in that it emits light when an electrical field is applied. Between two electrodes, there is the so-called dielectric; one electrode usually consists of a light-permeable plastic film printed with indium-tin oxide structures and the other reflects the light [4]. They are installed in the backrests of the seats for example as identification carriers and “welcome indicator” with colored backlighting as soon as the vehicles are opened (Fig. 3).

In the process, the film is thermally preformed in the mold, so that the end forming is only achieved with the injection-compression process. Injection-compression is a low-pressure process in which the holding pressure phase is replaced by the compression process, so that, for example, inserts such as films or decorative layers are preserved.

Assistance Systems of the  Machine Manufacturer

The large injection-molding machine manufacturers, with products such as iQ weight control (Engel), aXw Control PressurePilot (Arburg), APC plus (KraussMaffei) or HiQ Flow (Wittmann Battenfeld), now offer adaptive process controllers in order to counter process fluctuations in a targeted way. Here, the setpoint profiles are adjusted during the injection phase (and partially during the holding pressure phase) so as to achieve a constant viscosity of the melt within the machine. The basis for this is formed, for example, by the control of injection work, holding pressure profile or dynamic adjustment of the changeover point from the injection to holding pressure phase.

The HiQ Flow assistance system from Wittmann-Battenfeld, for example, performs monitoring, documentation and control of viscosity deviations during the injection and holding pressure process in order to obtain a uniformly high part quality independently of the material viscosity [5]. Viscosity changes detected during the injection phase are actively corrected in the same shot (Fig. 4), in that the integral of the injection pressure, the cylinder surface area and the position of the injection piston is determined. Based on a reference shot, the changeover point and holding pressure level are determined in dependence on the injection work of the current shot.

Some of these functions are not new in principle, but were already registered for a patent in the 1980s [6]. The implementation alone took some years. In view of the growing processing of bioplastics and recycled materials, which is inevitably associated with relatively large process fluctuations, the principle of adaptive process control is certainly a step in the right direction. For the sake of completeness, it is also worth mentioning here that, for the melt, there is also a “life after the machine,” namely in the hot runner and in the cavities. To what extent these purely machine-based solutions are delimited for example in multi-cavity and family molds remains to be seen.

However, assistance systems are not only limited to adaptive process control; their application spectrum is continually being extended with many areas – process optimization, production, predictive maintenance and service, to name but a few. In conversation with Johannes Kilian, Head of the department of process technologies at Engel, is becomes clear where the journey is headed: it is a matter of optimally adjusting the process so as to make as few errors as possible and largely simplify the route there. As an example, he quotes the iQ process observer, which has been in use with selected customers since May 2021. The system, which is not a process controller, checks, based on statistical indicators and other stochastic methods, where the process is heading and calculates proposals for changes. The system, which is also planned as a web application, should also make the process more transparent, and thereby simplify the application as much as possible.

The Machine Knows the Part – Machine-Integrated Simulation

The Engel approach to using simulation data tends in the same direction. Sim link is an intelligent interface to Autodesk Moldflow, which transforms the dataset from the injection molding simulation and checks its accuracy. In principle, this product is regarded as an 80 % solution, and thus as a support for the user. Finally, the customer must optimize his process, which then should be kept constant with intelligent assistance systems such as iQ weight control. In general, Johannes Kilian confirms that the iQ products at Engel have grown rapidly and were not developed as an end in themselves but also have to pay off economically.

At Arburg, too, the link between simulation and machine control is already reality, with the machine manufacturer here working with the software supplier Simcon. In an interview, Eberhard Duffner (Arburg) and Paul F. Filz (Simcon) have explained the concept [7], which is to be realized in two stages. In the first step, a filling assistant is implemented from the simulation, which visualizes the filling process in 3D (Fig. 5). Here, too, the aim is make the work easier for the setter so that he no longer has to interpret complex diagrams, such as the screw motion or the pressure profile over time.

In a second step, it is a matter of eliminating quality problems and illustrating process fluctuations in an easily understandable presentation. The limits for this approach currently lie both in the application and at the material side. Molds with a lot of cavities and high hot-runner volumes are currently excluded because of the compressibility and the fact that the hot runner has a control-life of its own, which cannot be considered at all in the simulation.

The term “digitalization” is used in a very generalized way where data of any kind have to be communicated. For some SMEs, this already begins with the use of project management tools, such as Microsoft Teams. For other companies, the term is a synonym for interfaces and protocols of measurement data and other digital information, while premium class users understand it to mean completely networked MES systems for production planning, and the like (Fig. 6).

Digitalization solutions are for the large part already available at all stages – either machine-integrated or from external suppliers, as shown by the product and trade names Arburg host computer system ALS, KraussMaffei Plastics 4.0, Engel inject 4.0, Wittmann 4.0, Sumitomo (SHI) Demag myConnect and KePlast EasyNet (an extract from the Keba Smart Factory portfolio; Fig. 7). They form the basis for future developments, for example for increasing production efficiency or simplifying the process and making it more transparent.

To remain competitive in the long term, Vorwerk, together with the Institute of Product Engineering (IPE) of the University of Duisburg-Essen, Germany, decided to examine the added value of 100 %-inline quality-related data recording, as well as direct prediction of part quality based on the process data [8]. With a filter cover for a vacuum cleaner (Fig. 8), the complete forming of the sealing lip of TPE and the correct, surrounding position of the TPE contour were examined in more detail. To record the variation of the width dimension, a camera system with black-white sensor and a resolution of 21 megapixels was used, with which the parts are scanned immediately after removal.

The molding dimensions were first defined, then automatically recorded and provided with a time stamp. For this reason, the times of the injection-molding machine and camera system must be synchronized via a time server of the company network. In addition to optical inline quality-related recording, it was investigated whether the quality characteristics considered can also be indirectly predicted, with modeling playing a key role. Seven state-of-the-art learning processes (including neural networks, support vector methods, Gaussian process regression) are trained in parallel and compete against one another, so that in the end only the model with the best validation data is used for the prediction (Fig. 8).

Here, too, this is a very interesting approach, but, as so often, has to struggle for universal application. For example, it must be considered that the shrinkage of the parts is not yet complete at the point of recording with the camera system. Vorwerk also points out that a prediction is only possible if a high standard of the quality data used in the learning phase can be presupposed.

A good example from the field of digital transformation is a new product marking system from matriq for injection molded, blow molded and thermoformed plastic articles (Fig. 9). Herein, the individual products are individually provided with an inseparable product marking by “branding” each part manufactured with a unique code. Each code is cyclically generated each time, so that the parts themselves are clearly traceable. In contrast to downstream systems, such as laser, printing or bonded marks, this is performed directly during manufacture of the parts. The benefit of a complex and expensive network solution is thereby significantly increased.

Sustainability is the great theme of our age and will probably also determine the coming trade shows. It is not yet decided where the focuses will lie. Certainly, recycling will play a major role, as KraussMaffei has already enriched the topic of the circular economy with an example of upcycling. Here, injection-molded buckets are externally shredded and fed back into the material loop as regrind.

With the aid of a twin-screw extruder, the secondary raw material is turned into a new upcycled pellet stock with the addition of a pigment and 20 % talc. From this “postindustrial material,” the covering of an A-pillar with textile surface – a high-tech part from the automotive industry – is ultimately manufactured by injection molding (Fig. 10). KraussMaffei sees itself as the only manufacturer on the market offering the turnkey systems necessary for this cycle from a single supplier, and thereby as a solution supplier for the circular economy [10].

If you consider the last K show in Düsseldorf, Germany, there are two themes that stick in your mind: digitalization with Industry 4.0 and the circular economy. While the first hype was at its peak, the second was just at the beginning of an incredible development. The aids to digitalization in the form of hardware and software platforms, interfaces and ancillaries are now extremely widely and universally present. The homework has been done, but often, unfortunately, not standardized and rarely compatible. Now comes the more interesting and considerably more innovative part in terms of simplification and process automation. This requires ideas, algorithms as well as a portion of artificial intelligence. The field of process control will separate the wheat from the chaff. As regards sustainability, on the other hand, the zenith has by no means been reached. We can wait eagerly to see how the industry gets to grips technically and commercially with the political requirements of a green deal.

1 Lenz, M.; Hohmann, K.: Automotive Display: A Matter of Form. Kunststoffe international 110 (2020) 3, pp. 20–23

2 Kastner, C.; Kienzl, W.; Kobler, E.; Steinbichler, G.: A Special Process that Is Becoming a Sustainable Normal Case. Kunststoffe international 111 (2021) 2, pp. 34–37

3 Werner, M.; Seul, T.; Wenzel, A.; Greifzu, N.; Lehr, M.: Scharfe Prozessdigitalisierung. Kunststoffe 111 (2021) 4, pp. 36–40

4 Müller, R.-U.: A Luminous Greeting. Kunststoffe international 111 (2021) 2, pp. 26–27

5 Pearson, B.; Pazour, P.: No More Weight Problems. Kunststoffe international 110 (2020) 7, pp. 25–27

6 Lampl, A., Patentschrift AT 381 670, Verfahren zur Kontrolle des Formfüllvorganges einer Kunststoff-Spritzgiesseinrichtung, 1986

7 Doriat, C.: “You Can See What Is Happening in the Mold” – Interview with Eberhard Duffner and Paul E. Filz. Kunststoffe international 109 (2020) 6, pp. 21–24

8 Schulze Struchtrup, A.; Mahl, A.; Kvaktun, D.; Thalemann, M.; Schiffers, R.: Inline Quality Monitoring and Data-Based Quality Prediction. Kunststoffe interntional 110 (2020) 6, pp. 17–20

9 Mitzler, J.; Pöpel, C.-P.; Kruppa, S:: Today Packaging, Tomorrow Raw Material. Kunststoffe international 109 (2019) 8, pp. 97–100