Trends In Manufacturing Research Articles

Development of Mechanical Design, Manufacturing and Automation

The technical level and scale of machinery manufacturing industry are one of the most important factors to measure a country’s industrialization degree and comprehensive strength of national economy. In present, the rapid development of China has also undergone leapfrog changes in the development of machinery manufacturing and automation, however, the development trend of mechanical manufacturing and its automation has gradually developed from the previous manual work to the direction of network virtualization, machine miniaturization and industrial intelligence.

Research Status and Trend of Design and Addictive Manufacturing for Mechanical Metamaterials with Energy Absorption

Research Status and Trend of Design and Addictive Manufacturing for Mechanical Metamaterials with Energy Absorption

Research Status and Trend of Design and Addictive Manufacturing for Mechanical Metamaterials with Energy Absorption

Research Status and Trend of Design and Addictive Manufacturing for Mechanical Metamaterials with Energy Absorption

Recent trends in additive manufacturing of electronics devices

Over the last few decades, there has been an increasing interest in manufacturing complex three-dimensional (3D) structures for theoretical models. This has escalated the research in the field of electronic devices fabrication. Advancement in electronics technology has led to electronics fabrication and manufacturing of new materials within a smaller lattice space. Several conductive materials like copper, carbon fibre, silver, graphene, and ferrites are available in the form of filaments. These filaments ease the fabrication of electronic devices through existing additive manufacturing techniques with minimal modifications. Additive manufacturing techniques provide significant competitive advantages due to their ability to adapt to the part's geometrical complexity and customized design to be manufactured. This review mainly focuses on using or the need for additive manufacturing in electronic device fabrication. Further, this article outlines the advantages of using additive manufacturing in the different fields of electronics fabrication, such as power electronics, sensors, batteries, solar cells, stretchable electronics, and embedded and wearable electronics. This paper also focuses on the methodologies adopted in additive manufacturing to overcome the issues encountered by conventional manufacturing methods.

Current Trends in Wire Arc Additive Manufacturing- A Review

Wire arc additive manufacturing (WAAM) is a fusion manufacturing process in which the heat energy of an electric arc is employed for melting the electrodes and depositing material layers for wall formation or for simultaneously cladding two materials in order to form a composite structure. This directed energy deposition-arc (DED-arc) method is advantageous and efficient as it produces large parts with structural integrity due to the high deposition rates, reduced wastage of raw material, and low consumption of energy in comparison with the conventional joining processes and other additive manufacturing technologies. These features have resulted in a constant and continuous increase in interest in this modern manufacturing technique which demands further studies to promote new industrial applications.

Research trends in clean, green and sustainable manufacturing: a bibliometric review

This paper aims at conducing a bibliometric literature review targeting some key themes of sustainability in the manufacturing and production sector. A first sample of 631 papers was found by using an appropriate combination of keywords in the SCOPUS database over a 22 year period (2000-2021). The sample was then reduced to 563 manuscripts, by removing the papers not expressively focused on the targeted topic. Finally, the analysis of the author keywords was carried out by dividing the 22 years period into 4 timespans, to determine the past and current trends within the research topic. The results highlighted a dominance of general themes related to sustainable and green aspects; at the same time, some specific subjects related to different aspects of manufacturing and production were identified, such as the design, the performance evaluation and the introduction of new Industry 4.0 technologies. Other themes, like human factors, companies’ resilience, flexibility or agility, appear to be not so considered in the studies reviewed; these themes could represent interesting topics for future research activities.

Technological Trends in Electronic Device Manufacturing for Beyond 5G

Technological Trends in Electronic Device Manufacturing for Beyond 5G

Green pathways for urea synthesis: A review from Australia's perspective

• Historical trend of the unsustainable fertilizer manufacturing should pursue greener pathways. • Green ammonia feedstock is critical but should be complemented with non-fossil CO 2 sources. • Three potential non-fossil-fuel CO 2 resources are discussed and evaluated in Australia. • Carbon-neutral CO 2 from biomass, renewable methane, or direct air capture may fit the criteria. • Proper energy management systems are essential for process synchronization and optimization. This paper discusses the status of the global fertilizer industry with a primary focus on Australian market. The conventional energy- and carbon-intensive ammonia production industry is taking serious steps in transforming to more environmentally benign pathways via utilising ‘green’ hydrogen (hydrogen production via water electrolysis powered by renewable energy) feedstock into their production process and utilizing more of the CO 2 by-product into downstream processes such as urea production. However, it is very challenging for ammonia and other fertilizer production routes to use ‘green’ pathway to completely decarbonize agriculture and food industry. Here, we argue that urea synthesis can only be considered as a ‘green’ technology if ammonia feedstock is produced via ‘green’ pathway and the CO 2 feedstock comes from non-fossil-fuel and carbon-neutral sources. Three possible resources for carbon-neutral CO 2 are identified and discussed within Australia's context: from biomass, renewable methane, and from direct air carbon capture (DAC). Each of these carbon-neutral CO 2 routes has many opportunities and challenges that may affect the cost of production, but the trajectory urea prices and growing market demand if supported by an adequate government regulatory framework would be able to make the ‘green’ urea production cost affordable. Achieving this goal however would require proper energy management systems to synchronize and optimize such a multi-player orientation for a common objective of maximizing the penetration of renewable sources at competitive costs. In this review, it is emphasized that this challenge could be addressed more effectively via a rigours intelligent energy network (IEN) by managing the dynamics of the supply and demand, integrating reliable storage systems, reclaiming the waste heat, and improving process efficiencies. Local ‘green’ urea production at competitive costs would help Australia realizing ambitions to become a leading green fertilizer and renewable energy exporter in the region.

Current Status of Research and Development Trend of Laser-induced Graphene Manufacturing

Current Status of Research and Development Trend of Laser-induced Graphene Manufacturing

New Progress and Development Trend of Manufacturing of Functional Surface Structure

New Progress and Development Trend of Manufacturing of Functional Surface Structure

Data-driven statistical analysis for discharge position prediction on Wire EDM

Wire-cut Electrical Discharge Machining (Wire EDM) is a machining technique widely used to cut high-precision punch tools and highly value added precision components. With increasing resource efficiency requirements and zero-defect manufacturing trend, pushing the limits of machining reliability, even at cutting speed next to the technical limits, is becoming imperative. Predicting the position of the sparks along the wire is thus needed to develop more efficient EDM processes, thanks to the suppression of discharges which are expected to happen in undesired positions. This will lead to a reduction of the number of machine stops caused by wire breaks. Motivated by this need, the paper presents a data-driven statistical analysis to get insight into the correlation between the discharge positions of two consecutive sparks, along with the relation between spark positions and discharge frequency. The underlying basis for this analysis was the possibility to obtain reliable real-time information about the position of sparks along the wire, a feature made available by a Discharge Location Tracker [4]. Results on spark position correlation are presented for cutting experiments on a steel workpiece of 50 mm in plane parallel with different machining parameters using brass wire of diameter 0.25 mm.

Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks

Driven by the flexible manufacturing trend in the process control industry and the uncertain nature of chemical process models, this article aims to achieve offset-free tracking for a family of uncertain nonlinear systems (e.g., using process models with parametric uncertainties) with adaptable performance. The proposed adaptive control approach incorporates into the control loop an adaptive neural network embedded contraction-based controller (to ensure convergence to time-varying references) and an online parameter identification module coupled with reference generation (to ensure modelled parameters converge those of the physical system). The integrated learning and control approach involves training a state and parameter dependent neural network to learn a contraction metric parameterized by the uncertain parameter and a differential feedback gain. This neural network is then embedded in an adaptive contraction-based control law which is updated by parameter estimates online. As uncertain parameter estimates converge to the corresponding physical values, offset-free tracking, simultaneously with improved convergence rates, can be achieved, resulting in a flexible, efficient and less conservative approach to the reference tracking control of uncertain nonlinear processes. An illustrative example is included to demonstrate the overall approach.

Post-medieval Pottery in Mazovia and Podlachia (16th–18th Century) – a Preliminary Report

The text is dedicated to the question of traditions and innovations in post-medieval pottery manufactured and used in the territory of today’s Mazovia and Podlachia in Poland. It focuses on the distribution of waregroups in the assemblages from selected sites dated to the mid-16th – late 18th centuries. The list includes both capital cities in the province (Warsaw, Płock) and local towns (Ciechanów, Płońsk, Przasnysz), as well as royal and aristocratic residences, gentry manors and villages. Among the most characteristic features worthy of note are the long lasting of early medieval manufacturing traditions, the widespreaduse of greyware, the relatively small proportion of whiteware and glazed vessels, as well as the sporadic (excluding Warsaw) occurrence of fineware (porcelain, faience). The analysis points to the specificity of Mazovian pottery in 16th–18th centuries, in relation to both other Polish lands and our notions on trends in pottery manufacture and use in the post-medieval period.

The Application of Intelligent Manufacturing Technology in CNC Tools Design and Machining

CNC tool is a kind of cutting tools in industrial manufacturing. With the improvement of CNC machining accuracy and quality level, it puts forward more strict requirements for the performance of the cutting tool. Its manufacturing intelligence has become the inevitable choice for the development of the industry. In this paper, the key manufacturing technology of numerical control tools and the application of intelligence in numerical control tool manufacturing are described. the development trend of intelligent manufacturing of numerical control tools is analyzed.

Continuous purification of influenza A virus particles using pseudo-affinity membrane chromatography

Robust and flexible continuous unit operations that enable the establishment of intensified bioprocesses is one of the most relevant trends in manufacturing of biopharmaceuticals, including virus-based products. Sulfated cellulose membrane adsorbers (SCMA) are one of the most promising matrices for chromatographic purification of virus particles, like influenza viruses. Here, a three ‘column’ periodical counter current set-up was used to continuously purify influenza A/PR/8/34 virus particles using SCMA in bind-elute mode. It was possible to recover 67.4% of the HA-activity and to remove 67.4% and 99.8% of the total protein and DNA, respectively. The performance of the continuous process operated over a total of 10 loops, was slightly inferior to was obtained in a comparable batch process. Nevertheless, it was possible to increase the effective usage of binding capacity to 80%, resulting on a productivity of 22.8 kHAU mlmemb−1 min−1. As a proof-of-principle, SCMA were successfully used as matrix for purification of cell-derived influenza virus particles, in continuous mode.

A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing

Ever since the emergence of Industry 4.0 as the synonymous term for the fourth industrial revolution, its applications have been widely discussed and used in many business scenarios. This concept is derived from the advantages of internet and technology, and it describes the efficient synchronicity of humans and computers in smart factories. By leveraging big data analysis, machine learning and robotics, the end-to-end supply chain is optimized in many ways. However, these implementations are more challenging in heavily regulated fields, such as medical device manufacturing, as incorporating new technologies into factories is restricted by the regulations in place. Moreover, the production of medical devices requires an elaborate quality analysis process to assure the best possible outcome to the patient. Therefore, this article reflects on the benefits (features) and limitations (obstacles), in addition to the various smart manufacturing trends that could be implemented within the medical device manufacturing field by conducting a systematic literature review of 104 articles sourced from four digital libraries. Out of the 7 main themes and 270 unique applied technologies, 317 features and 117 unique obstacles were identified. Furthermore, the main findings include an overview of ways in which manufacturing could be improved and optimized within a regulated setting, such as medical device manufacturing.

A sequential roadmap to Industry 6.0: Exploring future manufacturing trends

AbstractIt has been speculated that by the year 2050, technology will have progressed to the point of complete autonomy. This paper scrolls through patent pathways and intellectual developments throughout the industrial revolutions listing significant products and services that landmarked each revolution up to Industry 4.0. The patent trails and the recent IPR inputs are expected to assist readers in fast‐tracking up to speed on the bleeding edge of the current research pools while having an eagle's eye perspective on the previous developments so far. The research pools of Industry 4.0 are classified and explored. A lack of Human‐machine workforce synergy in Industry 4.0 and the nascent “customized manufacturing” concept is addressed in subsequent sections. The paper classifies two expected phases of Industry 5.0, highlighting the subdomains touted to be its focal areas. Lastly, Industry 5.0's niche research areas are checked and a suitable pathway to achieve the goals set for the sixth revolution is proposed.

Micro-end-milling of carbon nanotube reinforced epoxy nanocomposites manufactured using three roll mill technique

Carbon nanotubes (CNTs) have been applied as nano-fillers to improve mechanical, thermal and electrical properties of polymers. Despite near net shape techniques could be used to manufacture nanocomposites, micromachining processes are still necessary to attain high surface quality and dimensional accuracy. Besides, micromachining of nanocomposites could be a potential approach to produce micro-features/components, following the miniaturisation trend of modern manufacturing. Therefore, micro-machining of these relatively new materials needs to be investigated. A comprehensive investigation on machinability of nanocomposites will be presented in terms of chip formation, cutting force, tool wear, surface morphology and surface roughness. Three controlled quantitative factors are investigated at different levels, including filler loading, cutting speed and feed per tooth (FPT). Micro-slotting is performed on an ultra-precision desktop micro-machine tool using uncoated carbide micro-end mill. The additions of multi-walled carbon nanotube (MWCNT) have shown significant effects on the machinability of these epoxy-based nanocomposites including a dramatic reduction in cutting force and machined surface roughness with accelerating tool wear compared with a neat polymer. The irregular cutting force variations when micro-milling epoxy/MWCNT nanocomposites at feed rates below minimum uncut chip thickness (MUCT) (lower than 2 μm) indicating by their fluctuations that different from those in higher feed rates. It possibly shows the impact of size effects that are illustrated by the observations of chip formation, surface morphology, cutting force profiles as well as specific cutting energy calculation.

Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects

State-of-the-art Predictive Maintenance (PM) of Electrical Machines (EMs) focuses on employing Artificial Intelligence (AI) methods with well-established measurement and processing techniques while exploring new combinations, to further establish itself a profitable venture in industry. The latest trend in industrial manufacturing and monitoring is the Digital Twin (DT) which is just now being defined and explored, showing promising results in facilitating the realization of the Industry 4.0 concept. While PM efforts closely resemble suggested DT methodologies and would greatly benefit from improved data handling and availability, a lack of combination regarding the two concepts is detected in literature. In addition, the next-generation-Digital-Twin (nexDT) definition is yet ambiguous. Existing DT reviews discuss broader definitions and include citations often irrelevant to PM. This work aims to redefine the nexDT concept by reviewing latest descriptions in broader literature while establishing a specialized denotation for EM manufacturing, PM, and control, encapsulating most of the relevant work in the process, and providing a new definition specifically catered to PM, serving as a foundation for future endeavors. A brief review of both DT research and PM state-of-the-art spanning the last five years is presented, followed by the conjunction of core concepts into a definitive description. Finally, surmised benefits and future work prospects are reported, especially focused on enabling PM state-of-the-art in AI techniques.

Current and future trends of additive manufacturing for chemistry applications: a review.

Three-dimensional (3-D) printing, also known as additive manufacturing, refers to a method used to generate a physical object by joining materials in a layer-by-layer process from a three-dimensional virtual model. 3-D printing technology has been traditionally employed in rapid prototyping, engineering, and industrial design. More recently, new applications continue to emerge; this is because of its exceptional advantage and flexibility over the traditional manufacturing process. Unlike other conventional manufacturing methods, which are fundamentally subtractive, 3-D printing is additive and, therefore, produces less waste. This review comprehensively summarises the application of additive manufacturing technologies in chemistry, chemical synthesis, and catalysis with particular attention to the production of general laboratory hardware, analytical facilities, reaction devices, and catalytically active substances. It also focuses on new and upcoming applications such as digital chemical synthesis, automation, and robotics in a synthetic environment. While discussing the contribution of this research area in the last decade, the current, future, and economic opportunities of additive manufacturing in chemical research and material development were fully covered.Graphical abstract