Design and 3D simulation of open topping-on structured crochet fabric

Background Three-dimensional (3D) simulation and virtual reality (VR) technologies are increasingly used in aesthetic surgery consultations to enhance decision-making and expectation management. However, their impact on surgical decision-making and postoperative satisfaction across different procedures remains unclear. Objectives This study aimed to evaluate the influence of 3D simulation and VR technology in patients undergoing rhinoplasty, breast augmentation, mastopexy, augmentation-mastopexy and breast reduction. Methods A retrospective study was conducted with 75 female patients who underwent primary aesthetic surgery. Preoperative 3D simulations and VR visualizations were generated using the Crisalix Virtual Esthetics system (Crisalix S.A., Switzerland). Patients were assessed postoperatively at one year using structured surveys to evaluate the influence of 3D simulation and VR technology on their decision-making and satisfaction. Statistical analyses included the Kruskal-Wallis H test, the Chi-Square test, and Spearman’s correlation. Results 3D simulation had the greatest influence on breast augmentation (8.4/10), rhinoplasty (7.6/10), and augmentation-mastopexy (7.1/10) patients but was less impactful for mastopexy (6.6/10) and breast reduction (3.8/10) patients (p < 0.001). The most decisive factors were previous patient photos (30.7%) and communication with the surgeon (29.3%), with simulation ranking third (18.7%). Postoperative similarity ratings were highest in breast augmentation (7.9/10) and rhinoplasty (7.5/10) patients. While 70.7% of patients would recommend 3D simulation, VR headset use did not influence decisions (p < 0.001). Conclusions 3D simulation enhances patient engagement and expectation management across various aesthetic procedures. While its influence is more significant in surgeries primarily focused on aesthetic outcomes, it serves as a complementary tool rather than a definitive factor in decision-making.

Three-dimensional (3D) simulation technologies have experienced a significant rise in popularity in the fashion industry. Analyzing the efficacy of such technologies aids in pinpointing areas that require enhancement. While previous studies mostly focused on evaluating the fit and appearance of 3D simulation technologies with simple clothing styles, this research aims to assess the effectiveness of 3D fashion simulation software in producing digital designs that include creative pattern-cutting techniques known for their intricate structures and design complexities. Four designs were chosen to exemplify different design characteristics, and 95 people were recruited to assess the effectiveness of two cuttingedge 3D fashion simulation programs. Furthermore, the researchers utilized the apparel spatial visualization tests (ASVT) to examine whether the participants’ spatial visualizing aptitude would impact their assessment outcomes. The findings offer suggestions for enhancing the existing 3D simulation technology and provide instructions for the assessment procedure.

The use of simulation technology is well known in the field of engineering. On a daily basis, engineers use e.g. block oriented simulation systems to develop controllers or FEM analysis methods to test and verify component layouts. By contrast, the use of 3D simulation technology based on kinematics, rigid body or sensor simulation so far seems to be limited to only a few specific application areas like robotics. But especially '3D' simulation technology has the potential to evolve from a support tool to a core engineering technology acting as a new focal point in engineering processes. It is now the goal of eRobotics to introduce a continuous and systematic computer support into the entire lifecycle of complex systems. This 'computer support' will be provided by 3D simulation technology which requires the development of new architectures for 3D simulation frameworks, setting new benchmarks in performance, flexibility, modularity, integration capabilities and realism. These frameworks will also close the gap between virtual and real worlds, allowing for smooth bidirectional transitions between them. This paper introduces the basic concepts of eRobotics, summarizes new requirements on 3D simulation technology and introduces a new reference implementation which meets the formulated requirements.

Pediatric central nervous system tumors are the primary solid malignancies in children and remain a leading cause of mortality in infancy. Advances in pediatric neuro-oncology, driven by molecular oncology research, emphasize the critical need for high-quality pathological tissue to support advanced molecular investigations. However, the vast heterogeneity of these tumors requires precise discrimination of collection sites, aligning with preoperative imaging data. Surgical resection, a pivotal step in diagnosis and treatment, could result in potential morbidities influencing children's neurological status. This, in turn, affects the feasibility of subsequent oncological treatments, influencing overall prognosis and quality of life. To address these challenges, technological tools enhance neurosurgeon orientation in pre-surgical planning and resection. While stereotactic navigation systems reduce morbidity, limitations persist in providing only two-dimensional anatomical information. Recent developments in 3D surgical simulation and virtual reality revolutionize procedural planning, offering real-time integration with intraoperative navigation systems. Beyond surgery, virtual reality has potential in case discussions, preoperative planning, and operative guidance, aiming to improve care and patient outcomes. The virtual reality experience, coupled with detailed anatomical visualization, facilitates meticulous surgical strategy planning for minimal invasiveness. Despite expanding literature on virtual reality applications in neurosurgery, pediatric neurosurgical oncology experiences remain limited. Scientific evaluation of simulation systems' impact on techniques and outcomes, combined with advances in neuroimaging, offers promise for adapting surgical approaches based on neoplastic brain lesion behavior. In conclusion, incorporating 3D surgical simulation and virtual reality technologies in pediatric neurosurgical oncology holds substantial benefits, offering improved procedural planning, enhanced precision, and patient-specific adaptation. Despite limited reported experiences, the compelling advantages underscore the need for further exploration and consideration in the evolving landscape of pediatric neuro-oncology.

The purpose of this study is to explore the effectiveness of 3D simulation technology for enhancing spatial visualization skills in apparel design education and further to suggest an innovative teaching approach using the technology. Apparel design majors in an introductory patternmaking course, at a large Midwestern University in the United States, participated in this study. Three different teaching methods (lecture, 3D simulation instruments, and paper patternmaking) were employed in consecutive instructional phases, within a single day. A short questionnaire devised to assess students’ visualization abilities and overall evaluation on the three different teaching methods was administered to the students after each of the three phases. Overall, students’ abilities to visualize 2D patterns onto a human body were improved by all three teaching methods. The 3D simulation instruments anchored positive effects of training on spatial visualization abilities between lecture and paper patternmaking practices. The results affirm that 3D simulation technology has positive potential as an efficient instructional tool for improving students’ visualization skills in apparel design.

The purpose of this study was to provide the reference information for current and potential users of apparel 3D CAD system by studying the functional characteristics of apparel 3D CAD study. The apparel 3D CAD system of Optitex, V-Stitcher and DC-Suite was selected for technical compara tive study.The results were at follows: 1. Three systems are similar in basic 3D system configuration and working flow. 2. In configuring a module, Optitex and V-Stitcher separate a 2D pattern and a 3D simulation, whereas DC-Suite configures a 2D pattern and a 3D simulation in one system. 3. In Optitex, a 3D Runway system performs 3D simulation works linked with its own 2D pattern - making software, Optitex PDS, after the 2D pattern is made. 4. In case of V-Stitcher, 2D pattern making is done linked with Gerber Pattern CAD and a 3D simulation proceeds. 5. DC-Suite was developed based on 3D simulation technologies, different from other systems. It includes its own 2D pattern-making technologies.

In order to study the driving effect of industrial product design, a method based on the application of 3D simulation technology in industrial product design technology was proposed. This method introduces the information about the change in industrial product design in industrial enterprises and analyzes the application of 3D simulation technology in industrial product design by taking DIALux, industrial robot, and resource information search system as examples. The results show that the application of 3D simulation system needs to be combined with industrial software, and the development of industrial software business mainly based on 3D simulation technology is emphasized so that the business revenue of enterprises increases from 709 million yuan in 2029 to 1.385 billion yuan in 2021, with a compound growth rate of 25.01%, which has achieved good economic benefits. 3D simulation technology plays an important role in promoting the development of industrial product design technology. It is necessary to actively promote the integration between 3D simulation technology and industrial software.

Visual signals are crucial for animals to obtain information about their environment, and they play a significant role in mate choice. However, individual variability and factors such as movement patterns can hinder research flexibility. A key challenge in this field is the accurate simulation of specific movements and behaviors. In this study, we investigated the western mosquitofish (Gambusia affinis) by creating 3D simulation animations using the Maya 2018 software. Meanwhile, we validated the effectiveness of this animation through dichotomous association preference tests. The results showed that our subjects could successfully identify 3D simulated mates, and both males and females demonstrated pronounced preferences for larger simulated animations. Moreover, our findings revealed that this species exhibited a notably stronger preference for 3D simulations compared to 2D animations. These findings suggest that 3D simulation technology holds significant potential for the investigation of fish mate choice, offering an efficient, precise, standardized, and easily manageable non-invasive method for future research in fish behavior.

This paper mainly outlines a 3D SiP (System-in-package) project simulation flow, describes the 3D SiP simulation technology detailed. Generally, the 3D SiP simulation consists of two sections, the first section is to import the design data into a full wave 3D EM simulation tool, to extract the S-Parameter for nets. Then in the second section, put the S-Parameter into a 2D simulation tool, to get the signal waveform or eye diagram. In this paper, we detailed describe the 3D SiP simulation requirements and processes, simulation flow, design data translation, 3D EM model extraction, eye diagram simulation and etc. Finally we get the simulation result and present the conclusion and optimization suggestions.

Building virtual battlefield is an important subject in military simulation. In order to get realistic appearance in building roadway of battlefield by using 3D simulation technology, it's natural to do some complex calculations for the surface of the roadway, involving patterns with certain colours and textures. Usually, the surface of roadway with single colour can be simulated by direct colouration. The surface involving complicated patterns with colours and textures need to use texture-mapping. In this paper, it's demonstrated that, not only the complexity of the calculation for the surface can be simplified, but also the improvement of the efficiency and quality for the 3D simulation of the roadway can be achieved, by choosing proper texture pattern and appropriate texture mapping. Thereby, a satisfactory roadway constructed with 3D simulation technology appears.

Based on complex industrial field environment, modern industrial robots need good real-time, safety and stability, put forward higher requirements for control system. In this paper, real-time control technology and three-dimensional simulation technology of six-degree-of-freedom industrial robot are studied. A six-degree-of-freedom robot control system is developed by using CODESYS software supporting EtherCAT fieldbus. The hardware, software and core algorithm of the control system are designed. Different from the traditional CNC machine tool processing, six axial industrial robot is used to weld the trajectory of sphere-tube intersection curve, 3D simulation and welding code are automatically generated, and the algorithm rationality is tested and simulated. The proven six-degree-of-freedom robot control system can complete the real-time position and attitude control of the torch, acquire the state of the robot in real time, and support a variety of industrial robot models. It realizes automatic programming, 3D simulation, program uploading and downlinking, etc. The entire system has good real-time and reliability.

ABSTRACTThis study aims to provide practical implications about 3D virtual fit simulation technology as a fit assessment tool in the fashion industry by analysing similarities and discrepancies between actual and virtual garments in analyses made by users. Basic woven and knit dresses were made using a dressform used in young women’s apparel industry. Fit analysis on the actual and virtual garments showed similar results in the garment total length and width. However, a few areas, such as the neckline, sleeve cap, and shoulder slope, as well as fit issues such as hiking, draglines, gapping, puckering, and roll out, showed significant differences in fit evaluation. A more realistic visualisation of fit issues needs to be developed by building a database of characteristics of various seams and fabrics on the body. This study provided suggestions for areas of improvement in 3D virtual fit simulation technology for increased adoption of the 3D technology for effective prototyping and quality assessment in the fashion industry.

The purpose of the research was to examine (a) consumers’ experience and satisfaction of using 3D virtual simulation technology for online shopping and (b) consumers’ willingness to use the technology. Thirty-seven participants between the ages of 19 and 35 years were recruited. Each participant was scanned and a virtual model was made from the scan. Participants completed a questionnaire and were interviewed after completing a simulated online shopping experience that used 3D virtual simulation technology. Participants thought the visual information from the virtual model was a good starting point for judging fit. However, participants also found some inaccuracies in what they viewed on the screen. Despite the fact that the technology was not yet perfectly accurate, many participants thought the virtual model was impressive and they were likely to use it in the future. Some concerns about using the technology were raised including privacy issues, availability of technology, and discomfort of viewing one’s own body scan.

This dissertation research determined the ability of three-dimensional (3D) simulation technology (CLO3DTM and OptiTexTM software) to develop digital prototypes of structured apparel designs using different creative pattern-cutting techniques. The project’s focus was to compare the similarities between physical and virtual prototypes and evaluate differences in performance between the two software programs using fit and appearance criteria. The participants’ evaluations were analyzed with their performance on the Apparel Spatial Visualization Test (ASVT) to determine whether there was a correlation between the level of performance on the ASVT and evaluation of the technologies. It was predicted that participants with higher spatial visualization skills would be able to detect differences between the 3D programs in greater detail. This research was conducted using qualitative and quantitative data. The qualitative data were designed using autoethnography collected from observational data simulating eight visual prototypes developed by the researcher and analyzed using thematic content analysis. The qualitative data analyzed four case studies by discussing the seven stages of the virtual product development. The key themes in each process stage for both CLO3DTM and OptiTexTM were highlighted, resulting in seven themes. The researcher used the themes to analyze and describe the capabilities of the 3D simulation technologies to develop virtual prototypes of structured apparel designs. The quantitative data used a between-subjects design and were collected from an online QualtricsTM survey. The quantitative sample consisted of 95 valid survey responses that were analyzed using statistical analysis to answer the research questions and test the hypotheses. The findings indicate that the two digital programs performed differently in simulating the fit and appearance details of the various pattern-cutting techniques. In most cases, CLO3DTM performed significantly better than OptiTexTM. Further, the researcher found out that the participants’ levels of spatial visualization skills influenced the evaluation of the overall fit and overall appearance differently when comparing CLO3DTM and OptiTexTM.

This paper is based on 3D simulation technology and deeply analyzes the optimization strategy of tennis player training mode. The research focuses on two core systems: one is a remote motion monitoring system based on architecture, which captures and analyzes athletes’ motion data in real time, providing coaches with accurate motion feedback and training effectiveness evaluation; The second is a 3D-based safety monitoring system, which uses 3D simulation technology to simulate the training environment, monitor and warn potential safety risks in real time, and ensure the safety of athletes during training. These two systems are designed for different demand scenarios in tennis training, with complementary functions, and together constitute an intelligent solution for optimizing the training mode of tennis players. By continuously improving algorithms, optimizing data storage and computation methods, and improving the accuracy of data analysis and mapping, this study aims to enhance the scientific, efficient, and safe training of tennis players, providing strong support for the comprehensive improvement of their skills and physical fitness.