Drawing Process Research Articles

Re-Visioning Ethnography Through Meditative Practice: The Proposal for a Contemplative Anthropology and Its Experience through Visual Elicitation Technique

This article introduces a novel method presently in development that integrates ethnography and visual elicitation techniques to explore meditative experiences and investigate consciousness. Central to this method is the utilization of mandala-like images as a means to capture the dynamic evolution of consciousness during contemplative practices. The utilization of mandala drawings has been extensively developed in psychological study inspired by the work of C. G. Jung. In this study, I will elaborate on how this methodology has been adapted to suit the needs of qualitative ethnographic research within the framework of a visual elicitation methodology tailored to studies on meditative practices. This article provides an illustrative case study that scrutinizes the method’s potential applications and contributions within the domain of anthropological research on contemplative practices. The study critically examines the method’s historical evolution, signifying a notable shift in ethnographic focus toward meditation, and probes the dissolution of subjectivity boundaries that is inherent in meditative contexts. The research methodology is rooted in fundamental principles emphasizing participants’ direct experiences in meditation, the iterative construction of multistage mandalas, and a purposeful departure from conventional artistic norms during the drawing process. The present case study serves as an illustrative portrayal of the visual data derived from meditation sessions, offering insights into the transformative nature of contemplative experiences.

Evaluation of the Reverse Deep Drawing Process to Produce Square Cup of Brass Without Blank-Holder

Evaluation of the Reverse Deep Drawing Process to Produce Square Cup of Brass Without Blank-Holder

Effect of drawing deformation on microstructure and mechanical properties of Fe-Cr-Co-W alloy

The mechanical properties of strain gauge wire are intricately linked to the process of drawing deformation, playing a pivotal role in the performance of associated sensors. This study delves into the impact of varying degrees of drawing deformation on both the mechanical properties and microstructure of FeCrCoW strain gauge alloy wires. Through a comprehensive analysis of tensile testing, XRD, SEM, and TEM, a detailed and systematic exploration was conducted on the influence of different tensile deformation variables on the mechanical properties of alloys, while also exploring fracture mechanisms. The research results showed that the yield strength and fracture strength of FeCrCoW alloy gradually increase with the tensile deformation raising, while the fracture strain and work hardening rate gradually decrease. Advanced TEM investigations have elucidated that the phenomenon of grain refinement and the concomitant rise in dislocation density within the alloy escalates markedly with escalating levels of drawing deformation. This enhanced microstructural evolution is posited as the principal driver linking the alloy's mechanical properties to the magnitude of deformation experienced. Concurrently, the dynamic interplay between tungsten (W)-rich nanoparticles and the alloy's dislocations during the drawing process is identified as a significant contributor to the observed alterations in mechanical behavior. The synergistic effects of these microstructural changes are likely responsible for the nuanced shifts in the alloy's mechanical attributes.

Effect of wire diameter compression ratio on drawing deformation of micro copper wire

A crystal plasticity finite element model was developed for the drawing deformation of pure copper micro wire, based on rate-dependent crystal plasticity theory. The impact of wire diameter compression ratio on the micro-mechanical deformation behavior during the wire drawing process was investigated. Results indicate that the internal deformation and slip of the drawn wire are unevenly distributed, forming distinct slip and non-slip zones. Additionally, horizontal strain concentration bands develop within the drawn wire. As the wire diameter compression ratio increases, the strength of the slip systems and the extent of slip zones inside the deformation zone also increase. However, the fluctuating stress state, induced by contact pressure and frictional stress, results in a rough and uneven wire surface and diminishes the stability of the drawing process.

EBSD analysis and mechanical properties of low-carbon steel during drawing with shear deformation

In the current study, the effect of shear deformation combined with conventional drawing processes on the evolution of the microstructure, texture and mechanical properties of low-carbon steel was investigated using electron backscatter diffraction, Vickers microhardness and tensile test. For that, two samples were drawn with a shear die to 8 (ShD8–23 sample) and 23 % (ShD23–23 sample) of diameter reduction and followed by conventional drawing for a diameter reduction of 23 %, respectively. The results show that the overall grain size reduction was about 9.2 and 12.8 % and a significant increase in low-angle grain boundary fraction of 77.8 and 85.9 % for ShD8–23 and ShD23–23 samples, respectively. A typical <110>//DD fiber containing A {110}<001>, B {110}<111> and C {110}<110> components was formed in both samples. In contrast to the B and C components, the stored energy in the A component, estimated by the Kernel Average Misorientation (KAM) approach, was found to be low and stable with increasing deformation. The ultimate tensile strength of the ShD8–23 and ShD23–23 samples was improved by 49 and 52 %, respectively. The yield strength was increased by 95 and 108 % for ShD8–23 and ShD23–23 samples, respectively. The mechanical properties improvement was related to the deformation and initial microstructure. The contribution of dislocation strengthening, originated from geometrically necessary dislocations, is found to be dominant for the increase of yield strength rather than grain refinement strengthening.

Tablet-based Rey–Osterrieth Complex Figure copy task: a novel application to assess spatial, procedural, and kinematic aspects of drawing in children

The paper-and-pencil Rey–Osterrieth Complex Figure (ROCF) copy task has been extensively used to assess visuo-constructional skills in children and adults. The scoring systems utilized in clinical practice provide an integrated evaluation of the drawing process, without differentiating between its visuo-constructional, organizational, and motor components. Here, a tablet-based ROCF copy task capable of providing a quantitative assessment of the drawing process, differentiating between visuo-constructional, organizational, and motor skills, is trialed in 94 healthy children, between 7 and 11 years of age. Through previously validated algorithms, 12 indices of performance in the ROCF copy task were obtained for each child. Principal component analysis of the 12 indices identified spatial, procedural, and kinematic components as distinct dimensions of the drawing process. A composite score for each dimension was determined, and correlation analysis between composite scores and conventional paper-and-pencil measures of visuo-constructional, procedural, and motor skills performed. The results obtained confirmed that the constructional, organizational, and motor dimensions underlie complex figure drawing in children; and that each dimension can be measured by a unique composite score. In addition, the composite scores here obtained from children were compared with previsions results from adults, offering a novel insight into how the interplay between the three dimensions of drawing evolves with age.

Sheet Forming via Limiting Dome Height (LDH) Test: Influence of the Application of Lubricants, Location and Sheet Thickness on the Micro-Mechanical Properties of X8CrMnNi19-6-3

This work is concerned with forming, specifically deep drawing, and its influence on the micro-mechanical properties of sheet metal. In practice, there are several applications in which fractions can occur due to weak spots in the deep-drawn sheet metal, especially after long-term use. The deep drawing process was carried out on BUP–600 machines using the LHD (Limiting Dome Height) method, which uses a forming tool with a diameter of 100 mm and bead groove. Sheet metals X8CrMnNi19-6-3 (1.4376) with thicknesses of 1, 1.5, and 3 mm were selected for this process. To study the effect of a lubricant on the formability of the sheet metal, deep drawing without and with a lubricant was compared. An FEM analysis was conducted to identify critical points in the deep drawing process, and the results were later compared with real results. The analysis was conducted using the AutoForm program. The micro-mechanical properties of these points were subsequently examined. The specified points on the formed part showed significant differences in their micro-mechanical properties, suggesting a higher strength but also less resistance to fractures. The difference in micro-mechanical properties (indentation and Vickers hardness) in points that were not deep-drawn and points located in critical areas was up to 86%. Significant changes in behavior were found in the indentation modulus and plastic/elastic deformation work as well. This study demonstrates the significant effect of the use of a lubricant in achieving the deep drawing of the sheet metal. The application of a lubricant resulted in a 33% increase in drawing range compared to drawing without lubrication. This study has a significant influence on the deep drawing of sheet metals in practice, showing the fundamental influence of the lubricant on the drawing process and also showing the problem of critical points that need to be eliminated.

Process window and mechanical properties for thin magnesium- and zinc-wires in dieless wire drawing

Due to their biodegradable properties, magnesium- and zinc-based alloys are in the focus of interest for numerous medical applications, e.g. in the form of thin wires. To achieve improved processability by using hot forming and to obtain higher diameter reductions per pass, the dieless wire drawing process is presented in this paper. In order to investigate the processability and the resulting mechanical properties, a selection of magnesium- and zinc-alloys as well as process parameters are chosen, and wire manufacturing is carried out using the dieless drawing process. The resulting process windows and mechanical properties for the selected materials are discussed. It is found that the length of the forming zone is an important indicator for the process window and the cross-sectional area reduction accuracy in the dieless wire drawing process. Furthermore, process parameter variations result in a distinct variation of the mechanical properties of the wires, whereas process temperatures close to the wire extrusion temperature result in mechanical properties similar to the as-extruded wires. Good localization of the deformation is found for forming zones of 25–75 mm length at elevated temperatures and cross-sectional area reductions of up to 30% are possible for Z1 and ZX10 in one drawing step.Graphical

Investigating the Anticancer Potential of Zinc and Magnesium Alloys: From Base Materials to Nanocoated Titanium Implants.

In this work, we show the in vitro anticancer potential of surgical wires, obtained from zinc (ZnMg0.004) or magnesium (MgCa0.7) alloys by spatial technology comprising casting, extrusion, and final drawing processes. We also present the selective anticancer effects of applied soluble multilayer nanocoatings of zinc and magnesium onto titanium surfaces using the pulse laser deposition method. In the latter, the titanium samples were produced via 3D printing using the selective laser melting method and coated with various combinations of zinc and magnesium layers. For cytotoxicity studies, human dental pulp-derived stem cells (hDPSCs) and human osteosarcoma SaOS-2 cell line were used as representatives of healthy and cancer cells. Cells were examined against the 0.3-3.0 cm2/mL material extract ratios obtained from experimental and steel surgical wires, the latter being the current clinical industry standard. The MgCa0.7 alloy wires were approx. 1.5 times more toxic to cancer cells at all examined extract ratios vs. the extracts from steel surgical wires that exhibited comparable toxicity towards healthy and cancer cells. The ZnMg0.004 alloy wires displayed increased toxicity towards cancer cells with decreasing extract ratios. This was also reflected in the increased anticancer effectiveness, calculated based on the viability ratio of healthy cells to cancer cells, from 1.1 to 4.0 times. Healthy cell viability remained at 80-100%, whereas cancer cell survival fluctuated at 20-75%, depending on the extract ratio. Furthermore, the culture of normal or cancer cells on the surface of Zn/Mg-coated titanium allowed us to select combinations of specific coating layers that yielded a comparable anticancer effectiveness to that observed with the experimental wires that ranged between 2 and 3. Overall, this work not only demonstrates the substantial anticancer properties of the studied wires but also indicates that similar anticancer effects can be replicated with appropriate nanocoatings on titanium samples. We believe that this work lays the groundwork for the future potential development of the category of new implants endowed with anticancer properties.

Melt-extruded biocompatible surgical sutures loaded with microspheres designed for wound healing

Sutures are commonly used in surgical procedures and have immense potential for direct drug delivery into the wound site. However, incorporating active pharmaceutical ingredients into the sutures has always been challenging as their mechanical strength deteriorates. This study proposes a new method to produce microspheres-embedded surgical sutures that offer adequate mechanical properties for effective wound healing applications. The study used curcumin, a bioactive compound found in turmeric, as a model drug due to its anti-inflammatory, antioxidant, and anti-bacterial properties, which make it an ideal candidate for a surgical suture drug delivery system. Curcumin-loaded microspheres were produced using the emulsion solvent evaporation method with polyvinyl alcohol (PVA) as the aqueous phase. The microspheres’ particle sizes, drug loading (DL) capacity, and encapsulation efficiency (EE) were investigated. Microspheres were melt-extruded with polycaprolactone and polyethylene glycol via a 3D bioplotter, followed by a drawing process to optimise the mechanical strength. The sutures’ thermal, physiochemical, and mechanical properties were investigated, and the drug delivery and biocompatibility were evaluated. The results showed that increasing the aqueous phase concentration resulted in smaller particle sizes and improved DL capacity and EE. However, if PVA was used at 3% w/v or below, it prevented aggregate formation after lyophilisation, and the average particle size was found to be 34.32 ± 12.82 μm. The sutures produced with the addition of microspheres had a diameter of 0.38 ± 0.02 mm, a smooth surface, minimal tissue drag, and proper tensile strength. Furthermore, due to the encapsulated drug-polymer structure, the sutures exhibited a prolonged and sustained drug release of up to 14 d. Microsphere-loaded sutures demonstrated non-toxicity and accelerated wound healing in the in vitro studies. We anticipate that the microsphere-loaded sutures will serve as an excellent biomedical device for facilitating wound healing.

Numerical analysis of the effects of incremental reduction rate in the wire drawing process

Numerical analysis of the effects of incremental reduction rate in the wire drawing process

Characterization of Melt-Spun Recycled PA 6 Polymer by Adding ZnO Nanoparticles during the Extrusion Process.

With recent technological advances and the growing interest in environmentally friendly fiber production processes, the textile industry is increasingly turning to the spinning of filaments from recycled raw materials in the melt spinning process as the simplest method of chemical spinning of fibers. Such processes are more efficient because the desired active particles are melt-spun together with the polymer. The study investigates the melt spinning of recycled polyamide 6 (PA 6) fibers modified with zinc oxide nanoparticles (ZnO NPs) in concentrations ranging from 0.1 to 2.0 wt% of the polymer. The extrusion process was optimized under laboratory conditions. An analysis of the effectiveness of the nanoparticle distribution and chemical composition was performed using scanning electron microscopy (SEM) with energy-dispersive X-ray spectroscopy (EDS), differential scanning calorimetry (DSC), and Fourier transform infrared spectroscopy (FTIR). The results of the thermal analysis show an increase in the glass transition temperature of the extruded material from 50.97 °C (raw polymer) to 51.40 °C to 57.98 °C (polymer modified with ZnO NPs) and an increase in the crystallization point from 148.19 °C to a temperature between 175.61 °C and 178.16 °C, while the molar enthalpy (ΔHm) shows a decreasing trend from 65.66 Jg-1 (raw polymer) to 48.23 Jg-1 (PA 6 2.0% ZnO). The FTIR spectra indicate PA 6 polymer, with a characteristic peak at the wavelength 1466 cm-1, but pure ZnO and PA 6 blended with ZnO show a characteristic peak at 2322 cm-1. The distribution of nanoparticles on the fiber surface is more or less randomly distributed and the different size of NPs is visible. These results are confirmed by the EDS results, which show that different concentrations of Zn are present. The mechanical stability of the extruded polymer modified with NPs is not affected by the addition of ZnO NPs, although the overall results of strength (2.56-3.22 cN/tex) and modulus of elasticity of the polymer (28.83-49.90 cN/tex) are lower as there is no drawing process at this stage of the experiment, which certainly helps to increase the final strength of the fibers. The results indicate the potential of modification with ZnO NPs for further advances in sustainable fiber production.

A pathway to refined stress and strain distributions in aerospace-grade Ti/Al bi-metal sheets: Synergizing theoretical insights and FEM simulations

This study introduces an innovative theoretical model critical for predicting stress and strain distributions in Ti/Al bi-metal sheet production and its subsequent deep drawing process. Grounded in extensive mechanical and geometric analysis, the model facilitates manufacturing process optimization and the production of high-quality components. Finite Element Method (FEM) simulations are integrated to examine the significant effects of die geometric parameters on metal flow dynamics and susceptibility to material stress. The model’s precision is enhanced by incorporating anisotropic material properties and cohesive zone models. A rigorous experimental framework validates the model, highlighting the practical utility of optimized parameters in Ti/Al bi-metal component fabrication. Additionally, uniaxial tensile tests using the Video Image Correlation-3D (VIC-3D) system provide detailed insights into material deformation, elucidating stress distribution and metal flow in composite layers. Thus, the research presents a refined methodology for the efficient production of Ti/Al bi-metal components, offering valuable knowledge transferable to various materials and processing scenarios. The findings of this work are expected to make a significant impact on material engineering and mechanical manufacturing.

Investigation on Cold Drawing Process of Unequal-Wall-Thickness Battery Shell Based on 3003 Aluminum Alloy Extruded Blanks

Investigation on Cold Drawing Process of Unequal-Wall-Thickness Battery Shell Based on 3003 Aluminum Alloy Extruded Blanks

Intelligent design and optimization system for shear wall structures based on large language models and generative artificial intelligence

Intelligent design technology for shear wall structures has great potential for enhancing design efficiency and addressing the challenges of tedious and repetitive design tasks. Recently, there has been a surge in the development of this technology. However, existing deep learning-based design methods for shear wall structures suffer from poor quality and usability issues. To address these challenges, this study proposes an intelligent design and optimization system for shear wall structures based on large language models (LLMs) and generative artificial intelligence (AI). The system employs an LLM as the core controller, which interacts with engineers to interpret their language descriptions and translate them into executable computer code. Subsequently, the system utilizes the corresponding structural generation and optimization methods to accomplish intelligent design tasks automatically. Furthermore, the system incorporates such critical factors as the empirical rules, mechanical performance, and material consumption into the structural optimization process. A unique three-level, two-stage optimization method is constructed based on topology, pattern, and size to enhance the overall design quality. Being able to complete the entire workflow of architectural drawing processing, structural scheme generation, and analysis model establishment, the proposed system enables automated and efficient design of shear wall structures. Through the analysis and validation of multiple cases, it was demonstrated that this system can significantly speed up the design by approximately 30 times compared to that of traditional methods whilst ensuring the safety and cost-effectiveness of the design schemes. Consequently, this study provides valuable insights for the advancement of automated structural design undertakings.

Prediction of defects in deep drawn rectangular parts using Finite Element Analysis (FEA) and Response Surface Methodology (RSM)

Abstract Deep drawing defects such as thinning and earing present challenges to sheet metal forming industry while designers tend to favour the usage of new materials and production processes. The present work introduces an integrated approach using Design of Experiment, FEA experimentation and RSM to study the effect of deep drawing process parameters and resulting defects associated with sheet metal forming processes such as thinning and earing particularly in deep drawing of non-circular parts. The Design of Experiment (DoE) is used to generate a series of experiments for different process parameters in deep drawn rectangular products which are then simulated using Simulia 2022, a finite element package. The results are then fed to statistical analysis software, Design Expert 12.0, to develop regression equations that predict minimum sheet thickness and earing defects using RSM. FE models for deep drawing of different products have been built and results have been verified through comparisons with published data. Critical process parameters were selected for investigation in the present work. Based on the results of these experiments, a two-level design of experiment is conduct to generate 64 FE experiments. The relationships between these parameters and minimum sheet thickness after drawing and earing defects are then obtained using RSM. Optimum values of different parameters are obtained for maximum sheet thickness after drawing and minimum earing.

Multi-pass deep-drawing process and mould design for thin-walled hollow cylindrical parts

Thin-walled hollow cylindrical parts are widely employed in various industries, including automobiles, ships, and aviation, due to their increased demand and the escalating quality requirements for their formation. The production of these parts primarily relies on a multi-stage deep drawing process. However, during the deep drawing process, the gradual reduction in the side wall thickness creates a susceptible area at the bottom rounded transition, where local over-thinning may occur, thereby increasing the risk of cracking. Furthermore, the deep-drawing process becomes more intricate for thin-walled hollow cylindrical parts with a large height-to-diameter ratio, amplifying the likelihood of defects during actual production. This paper combines CAE simulation and empirical design to comprehensively investigate and analyze the multi-stage deep drawing process and mold design for thin-walled hollow cylindrical parts. The aim is to optimize the deep-drawing process and mold parameters, enhance the products qualification rate, and provide valuable guidance for the practical production of relevant enterprises.

Membangun Budaya Kerja Yang Mendukung Kinerja Tinggi

This study aims to explain the role of organizational culture in enhancing employee performance in a company. A qualitative approach with a literature review is used as the research methodology, while data collection techniques are conducted through documentary studies. The collected data is then processed through the process of reduction, presentation, and conclusion drawing. The research findings indicate that organizational culture is formed from the implementation of values, norms, and policies by organizational leaders, while employee performance is measured based on their work results in completing organizational tasks. The role of organizational culture in improving employee performance includes aspects of innovation, attention to detail, benefit orientation, individual orientation, team orientation, aggressiveness, and job stability. This is beneficial in shaping work habits that align with the standards set by the organization; therefore, leaders need to propose ideas or policies that can shape the desired work culture.

Correction to: Application of ML methods to predict residual stresses and strains after wire drawing process

Correction to: Application of ML methods to predict residual stresses and strains after wire drawing process

Self-Poled Piezoelectric Nanocomposite Fiber Sensors for Wireless Monitoring of Physiological Signals.

Self-powered sensors have the potential to enable real-time health monitoring without contributing to the ever-growing demand for energy. Piezoelectric nanogenerators (PENGs) respond to mechanical deformations to produce electrical signals, imparting a sensing capability without external power sources. Textiles conform to the human body and serve as an interactive biomechanical energy harvesting and sensing medium without compromising comfort. However, the textile-based PENG fabrication process is complex and lacks scalability, making these devices impractical for mass production. Here, we demonstrate the fabrication of a long-length PENG fiber compatible with industrial-scale manufacturing. The thermal drawing process enables the one-step fabrication of self-poled MoS2-poly(vinylidene fluoride) (PVDF) nanocomposite fiber devices integrated with electrodes. Heat and stress during thermal drawing and MoS2 nanoparticle addition facilitate interfacial polarization and dielectric modulation to enhance the output performance. The fibers show a 57 and 70% increase in the output voltage and current compared to the pristine PVDF fiber, respectively, at a considerably low MoS2 loading of 3 wt %. The low Young's modulus of the outer cladding ensures an effective stress transfer to the piezocomposite domain and allows minute motion detection. The flexible fibers demonstrate wireless, self-powered physiological sensing and biomotion analysis capability. The study aims to guide the large-scale production of highly sensitive integrated fibers to enable textile-based and plug-and-play wearable sensors.