In this paper, a survey of the applications of digital twins (DTs) in removal and additive machining operations performed in smart manufacturing is presented. Some representative examples of virtual modelling in these manufacturing areas at different scales and complexity, including tools, fixtures, machines, equipment and manufacturing/production systems are presented and overviewed. Current experiences of research centres and machine tools companies, which develop and implement of DT technology in the context of control and optimization of machining processes performed on CNC machine tools, are highlighted. According to the author’s opinion this comprehensive survey would encourage to undertake this important manufacturing problem to implement new virtual tools for developing the I4.0 strategy.
PL
W artykule zaprezentowano przegląd zastosowań cyfrowego bliźniaka (DT) w skrawaniu i obróbce przyrostowej. Podano przykłady o różnym poziomie złożoności, z uwzględnieniem oprzyrządowania, maszyn, procesów i systemów wytwórczych/produkcyjnych. Omówiono doświadczenia ośrodków badawczych we wdrażaniu technologii DT w kontekście sterowania procesami obróbkowymi na obrabiarkach CNC i ich optymalizacji. Zdaniem autora artykuł powinien zachęcić do podjęcia problematyki wprowadzania nowych narzędzi informatycznych w rozwoju strategii Przemysłu 4.0.
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In this paper, some important achievements in the development of Industry 4.0 (I4.0) strategy based on the concept of advanced digitalization covering smart manufacturing activities using the Internet of Things (IoT) and corresponding digital twin (DT) solutions are highlighted. Some popular definitions and their practical meanings, modelling principles and possible applications are given. Some new trends and enabling technologies in smart (intelligent) manufacturing, i.e, complete digitalization of assets (units, machines, equipment, etc.), processes and systems based on the evolutionary development of DTs are discussed. This paper should encourage industry and academia to undertake this important problem more seriously, to implement its future potential in manufacturing and enhance the I4.0 strategy.
PL
W artykule dokonano przeglądu osiągnięć w zakresie rozwoju strategii Przemysłu 4.0, opartego na zaawansowanej cyfryzacji z wykorzystaniem internetu rzeczy (IoT) i cyfrowego bliźniaka (DT - digital twin). Podano definicje i zasady modelowania oraz przedstawiono możliwe obszary zastosowań cyfrowego bliźniaka. Omówiono trendy w inteligentnym wytwarzaniu, m.in. kompletną cyfryzację maszyn, procesów i systemów wytwórczych, oparte na ewolucyjnym rozwoju koncepcji cyfrowego bliźniaka. Artykuł powinien zachęcić do podjęcia problematyki wprowadzania nowych narzędzi informatycznych w rozwoju strategii Przemysłu 4.0.
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In this paper, a survey of new achievements in the area of biologically inspired design and manufacturing and fundamental rules of biological transformation in manufacturing - also in relation to mechanical engineering - is provided. Some possible scenarios and several examples of the applications of biological transformation in manufacturing are presented. Some new trends, for instance, the way so-called Living Manufacturing Systems, which are based on advanced AI techniques, are discussed. Finally, some examples of a successful biologicalisation of manufacturing tools, i.e. injection moulds, machine tools, manufacturing processes, and systems are provided. This paper can motivate Polish engineers and researchers to undertake this topic in Poland.
PL
W artykule dokonano przeglądu osiągnięć w zakresie biologicznie inspirowanego projektowania i wytwarzania oraz zasad biologicznej transformacji tych podstawowych funkcji w inżynierii mechanicznej. Przedstawiono możliwe scenariusze i liczne przykłady wdrażania biologicznej transformacji w przemyśle wytwórczym. Omówiono nowe trendy, m.in. przejście do „żywych” systemów wytwórczych (living manufacturing systems) oparte na technikach AI samouczenia się. Zamiarem autora jest zainteresowanie inżynierów i naukowców w kraju tematem transformacji biologicznej.
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The objective of this article is to carry out a systematic review of the literature on multivariate statistical process control (MSPC) charts used in industrial processes. The systematic review was based on articles published via Web of Science and Scopus in the last 10 years, from 2010 to 2020, with 51 articles on the theme identified. This article sought to identify in which industry the MSPC charts are most applied, the types of multivariate control charts used and probability distributions adopted, as well as pointing out the gaps and future directions of research. The most commonly represented industry was electronics, featuring in approximately 25% of the articles. The MSPC chart most frequently applied in the industrial sector was the traditional T2 of Harold Hotelling (Hotelling, 1947), found in 26.56% of the articles. Almost half of the combinations between the probabilistic distribution and the multivariate control graphs, i.e., 49.4%, considered that the data followed a normal distribution. Gaps and future directions for research on the topic are presented at the end.
The Sustainable Development Goals (SDGs) were proposed to ensure the well-being of everyone on earth, a purpose to which all the fields, including manufacturing, must contribute. However, although industry is implementing this laudable concept in a piecemeal fashion, it is currently unlikely to achieve all 169 targets in the 17 Goals by the SDG deadline of 2030. Therefore, qualitative and quantitative achievement indicators and effective evaluation methods are needed to achieve the 17 goals of the SDGs when developing industrial products. Therefore, in this study, the manufacturing in response to the 17 goals and the 169 targets of the SDGs is considered, and the application of the pentagonal W-ECO model for manufacturing based on the SDGs was proposed. First, the current situation of manufacturing was considered from an environmental perspective, which is also important for the SGDs. Secondly, product’s lifespan which is deeply related to the environment, was discussed in terms of the correlation between time, technology and environment, and "Re" technology was proposed to extend product's lifespan and save resources. Then three cases of development for environmental conservation were introduced to understand the current situation, and it was confirmed that the new technologies in the three cases can contribute to the achievement of SDGs, however the degree of their contribution couldn't be evaluated quantitatively. Finally, the previous three cases using the proposed pentagonal W-ECO model quantitatively evaluated and confirmed that the results of the evaluation provide a quantitative indicator for achieving the SDGs. As a result, the effectiveness of the pentagonal W-ECO model for manufacturing based on SDGs is evaluated.
The article presents an experimental stand to assess the state of punch in the process of sheet blanking. Blanking trials were carried out on an eccentric press. During all the trials, there were recorded signals of acoustic emission (AE) that accompanied the process of blanking. For the recorded AE signals, the methodology of data preparation and analysis was presented. On that basis, the results of the assessment of the state of the punch were presented, and they employed five methods of visualization: Andrews curves, Principal Components Analysis, Linear Discriminant Analysis, a modified method of Stochastic Neighbor Embedding and Sammon Mapping. The aim of the work was to assess the possibility of using visualization methods to predict the condition of the tool on the basis of acoustic emission signals in processes carried out in extremely short times.
The paper presents an approach to the impact of process parameters in innovative RTH (Rapid Tube Hydroforming) technology for shaping closed metal profiles in flexible and deformable dies. In order to implement the assumed deformation of the deformed profile, the RTH technology requires the monitoring and control of numerous technological parameters, including geometric, material, and technological variables. The paper proposes a two-stage research procedure considering hard modelling (constitutive) and soft modelling (data-driven). Due to the complexity of the technological process, it was required to develop a numerical finite element method FEM model focused on obtaining the adequate profile deformation measured by the ellipsoidality of the cylindrical profile. Based on the results of the numerical experiments, a preliminary soft mathematical model using ANN was developed. Analysing the soft model results, several statistical hypotheses were made and verified to investigate the significance of selected process parameters. Thanks to this, it was possible to select the most important process parameters, i.e., the properties of moulding sands used for RTH dies: the angle of internal friction and cohesion.
The study is devoted to the co-design concept which is not widely studied in the manufacturing industry area. The concept is just practiced but not theorized and not investigated enough, although it greatly deserves it because of its perspectives and advantages potential in the technology changes era. This study aims to present an investigation of literature views on co-design in manufacturing operations, with the comparison to service literature where it is widely discussed; the study also aims at in-depth investigations of co-design occurrences in two industrial cases of product development to understand their nature and circumstances. In addition, the influence of Industry 4.0 technologies and their coexistence with the concept of sustainability will also be strongly taken into consideration in the empirical part of this study. The process of the individualized production of the industrial line for animal food packing and cardboard packaging production has been studied according to case study methodology. The study demonstrates that co-design could contribute to bettering the process of new product development and achieving products more accurate for the final users’ requirements. It goes hand in hand with one of the core ideas of sustainability, which is to have long-lasting products, exploited by the customer with a high level of satisfaction for a longer time. The study implies that the technologies of Industry 4.0 could support wider and more effective co-design exploitation by manufacturing entities.
This case study describes a manufacturing process of composite chassis also known as monocoque. The structure is made using carbon fibre reinforced polymers (CFRP) which are manufactured in out-of-autoclave (OOA) process from pre-impregnated carbon fabrics and aluminium alloy honeycomb core. Since the material cost is high the aim of the project was to reduce the cost of manufacturing process i.e. cost of models and moulds. Therefore, instead of high-temp models and moulds a cheaper alternative was used. It consisted of Styrofoam models made using polyurethane (PU) paste and moulds made from CFRP using wet layup process which were cured at room temperature. Such moulds had to be adapted to withstand high temperatures during pre-preg cure. This was done with gradual heat annealing process which increased the maximum service temperature from 45C to 90C. This was enough for the low-temp cure of pre-preg material, but it might be possible to increase the temperature even further. As a result, the cost of manufacturing process had been reduced by 50%.
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Opracowano sposób wytwarzania recyklatów z odpadów membran wielowarstwowych przy ograniczonym wpływie energii cieplnej. Oceniono możliwość wykorzystania otrzymanych recyklatów wraz z pierwotnym polipropylenem do wytwarzania kompozytów z udziałem napełniaczy glinokrzemianowych. Oceniano wpływ udziału recyklatów membranowych oraz haloizytu jako napełniacza na jednorodność otrzymanych materiałów oraz ich właściwości przetwórcze, termiczne i mechaniczne. Najlepszym materiałem okazał się kompozyt z dodatkiem 1% mas. haloizytu zawierający nawet 30% mas. odpadu membranowego. Charakteryzował się on nawet lepszą odpornością termiczną, lepszą udarnością, twardością oraz przetwarzalnością niż odpowiedni kompozyt z udziałem czystej osnowy polipropylenowej.
EN
The waste of multi-layer membranes was thermally stuck together and the obtained tapes were cut into small flakes. The obtained recyclates were used in a mixt. with polypropylene for the production of composites with Al-Si filler. Effect of the content of membrane waste and the halloysite on the homogeneity of the obtained composites and their processing, thermal and mech. properties was analyzed. The best material was a composite with the addn. of 1% by mass of halloysite and up to 30% by mass of membrane waste, which showed better thermal resistance, impact strength, hardness and processability compared to the composite obtained with the pure polypropylene.
Introduction/background: The popularity of outsourcing as a management tool among Polish enterprises is increasing. Growing competition forces companies to look for new solutions for company management. Outsourcing is defined as a management tool to reduce costs in an enterprise. Aim of the paper: The aim of the study was to check whether there is a relationship between outsourcing and the size of the company. In the study, I list large companies and SMEs. Compares the relationships between the manufacturing and services sectors. Materials and methods: In this category, data from 250 companies from the Notoria database were used. In the first part of article, it compares the value of outsourcing across sectors using the Student T-test. In the next part of article, I examine the relationship between outsourcing and the size of companies. I compare the results between the vectors. Pearson's correlation test was used. It then compares the use of outsourcing between small and large companies. The student's T-test for independent programs was used. Results and conclusions: The results say there are differences in the use of outsourcing between the manufacturing and service sectors. I noticed that industrial companies use much more solutions provided by external suppliers. Moreover, I can see that outsourcing has a greater impact in manufacturing than in the service industry. As the company grows, the use of outsourcing increases. It also shows that large companies use outsourcing to a greater extent than smaller companies.
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Intelligent IoT functions for increased availability, productivity and component quality offer significant added value to the industry. Unfortunately, many old machines and systems are characterized by insufficient, inconsistent IoT connectivity and heterogeneous parameter naming. Furthermore, the data is only available in unstructured form. In the following, a new approach for standardizing information models from existing plants with machine learning methods is described and an offline-online pattern recognition system for enabling anomaly detection under varying machine conditions is introduced. The system can enable the local calculation of signal thresholds that allow more granular anomaly detection than using only single indexing and aims to improve the detection of anomalous machine behaviour especially in finish machining.
There are many digital transformation challenges going forward towards Industry 4.0 in Thailand, especially for the traditional manufacturing firms that have been operating without digital technologies. The paper presents a case study of a safety shoe manufacturer, CPL Group Public Company Limited, adopting digital technologies to transform its production system of 40 years. It presents a conceptual design for production tracking based on IoT technologies for productivity improvement. This research uses inductive case study research design by interviewing executives and participating in the digital tracking development project using IoT sensors and image processing. The findings show the key success factors of digital transformation in manufacturing, strategies required for development, and the conceptual design of the production tracking system.
A wide consensus exists on the role of intangible assets in both developed and developing economies, especially now, with the new generation of information and communication technologies. Emerging economies generally demonstrate lower endowment with intangibles (Dutz et al., 2012), but follow the same positive patterns for long-run development. In Russia, the contribution of intangibles to growth is still modest, and its capacity to foster productivity has not been achieved. As previous studies showed, efficiency represents one of the main channels of total factor productivity growth. This paper studies the effects of intangibles on the efficiency of Russian manufacturing firms in 2009–2018. Considering the heterogeneity of sectors and firms, the stochastic frontier model is applied. In general, the impact of intangibles is positive but small and influenced by external shocks and structural features. The paper provides evidence on different contributions of intangibles to efficiency for hightech and low-tech firms and its change over time. It contributes to the strand of literature regarding the technical efficiency measurement on the microlevel. On the practical side, the paper suggests an analytical framework for differentiated policy mechanisms to drive investments in intangibles, which are essential for current digital transformation.
W artykule przedstawiona została w zarysie historia produkcji polskich walców drogowych do 1939 r. Szczególną uwagę zwrócono na walce z własnym napędem – parowe i motorowe. Podano także niektóre szczegóły konstrukcyjne i eksploatacyjne walców drogowych wybranych producentów.
EN
The paper outlines the history of the production of Polish road rollers to 1939. Particular attention was paid to rollers with own propulsion - steam and motor. Some construction details are also given and operation of road rollers of selected manufacturers.
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This article presents the results of a research project carried out in a factory of an aviation manufacturer of aircraft engine parts. The project aimed to design a simulation model for the company’s department producing the factory’s critical items with extensive lead time: approximately 50–60 days. The company’s engineers validated the model by comparing it against historical and reference data for the modeled line. The real-life sequence was used as a reference for simulation experiments. Two sequences with shorter lead times have been found. Results of the project inspired the company to redefine its approach to management by preparing dynamic production plans adaptable to environment variables. Based on the simulation project, a conceptual method of proceeding was proposed enabling the introduction of such a task. The concept proposed restructuring the factory, defining observation points and integrating the digital twin along with “What-If” simulation experiments. By distinguishing between the location and operation observation points one can map the real life processes onto the simulation model. Consequently, experiments can be launched, simulating possible scenarios starting from a predefined moment of the actual real life process. Also the benefits resulting from the application of the proposed solution were defined.
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