This paper introduces a proactive ergonomics methodology to quantify vision obstruction by integrating computer-aided design (CAD), digitalhumanmodeling (DHM), and image processing. The "rough and rapid" a...
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ISBN:
(纸本)9783031058905;9783031058899
This paper introduces a proactive ergonomics methodology to quantify vision obstruction by integrating computer-aided design (CAD), digitalhumanmodeling (DHM), and image processing. The "rough and rapid" approach presented in this study uses an image analysis macro to measure forward field of view (FoV) obstruction based on the snapshots collected from DHM software. The proof-of-concept design study presented in this research investigates the quantification of the obstruction caused by halo-type cockpit safety and protection equipment introduced into Formula 1 (F1) race cars in 2018. Halo is a curved bar that surrounds the driver's head over the cockpit opening and offers additional protection to drivers. However, the halo's introduction has raised obstruction-related concerns due to its vertical and horizontal bars (pillar-like elements) sitting in front of the cockpit. In this case study, a low-fidelity digital F1 race car model, including halo safety equipment, was constructed along with the manikins representing generic F1 drivers with different anthropometric characteristics. A low-fidelity DHM simulation setup, consisting of the F1 vehicle and simplified race track model, was used to collect forward FoV vision snapshots of drivers. The snapshots were then sent to an image processing software to quantify the area obscured by the halo. Overall, the results show how the methodology can supply designers with quantitative data to gain more insight into visibility concerns regarding obstruction caused by body frame and cockpit components early in preliminary design. This approach discussed in this study is particularly noteworthy during the preliminary design, where designers demand robust concept evaluation tools to evaluate concepts variants before building time-consuming and costly physical mockups.
The boundaries between different engineering majors are thinning and there is a strong need for all engineering students to work toward becoming blended digital professionals in order to succeed as future engineers. T...
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The boundaries between different engineering majors are thinning and there is a strong need for all engineering students to work toward becoming blended digital professionals in order to succeed as future engineers. This work-in-progress paper will introduce readers to an interdisciplinary, upper-level course that has been recently developed at the New Jersey Institute of Technology located in Newark, NJ, USA. This course familiarizes students with microcontrollers, an integral part of many modern, technological devices, and their exciting applications in the fields of the Internet of Things (IoT) and Robotics. Using a project-based, hands-on approach, microcontrollers are included as a component part of a broader design activity to introduce students to coding, logic, and automation in the wider context of engineeringdesign. Students from different majors collaborate to work on multiple mini-projects to integrate a programmable system into a working prototype, such as a step counter, automatic plant watering system, and a home security alarm system. Overall, this course provides a foundational understanding of software design and coding, and microcontroller interfacing with sensors, actuators, motors, etc. Students also develop 3D modeling and prototyping skills and are encouraged to use the makerspace. The course further exposes students to the interesting field of data science, as students gather real-life data from sensors and then clean, analyze and create visualizations from the data set using common Python-based libraries. Preliminary feedback from students has been very positive. Students have expressed satisfaction in being industry-ready, especially as they were introduced to Python programming and data science while maintaining an engineering, hands-on context. This paper will discuss why this course was developed, its various components, and its preliminary outcomes. The goal is to enable readers to offer a similar course at their universities or integr
For numerous applications, mitigation of ducted fans noise emission is a major design challenge. In the context of aircraft propulsion for example, certification standards have become more stringent over the last deca...
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ISBN:
(纸本)9780791886991
For numerous applications, mitigation of ducted fans noise emission is a major design challenge. In the context of aircraft propulsion for example, certification standards have become more stringent over the last decades to support sustainable and environmentally protecting mobility solutions. With current design practices, many physical tests on stationary rigs or during fly-over tests are still required to fulfill all design requirements. Numerical methods have the potential to improve that process by reducing the time and the cost to assess design variants. To be effectively deployed within the industry, these methods must be able to capture the major physical phenomena while offering a competitive computational cost. With this objective in mind, this paper introduces a simulation methodology to predict the tonal fan noise resulting from the rotor-stator interaction and its propagation to the far field environment. With an application to an existing fan design, this paper shows how the workflow establishes a fast and efficient analysis process, by connecting CAD modeling, CFD and FEA simulations in a modular way. Focus will be put on the harmonic balance methodology for CFD simulation of the noise generation, and on the FEMAO methodology for acoustic noise propagation. Results shows a drastic reduction in turnaround time compared to conventional CFD and FEA methods, allowing the entire workflow to be set up and executed within a day of engineering time on an individual workstation.
Standard joining techniques such as adhesive, sealer, and mastic dispensing play a vital role in automotive Body in White manufacturing processes. Traditionally, validation involves verifying dispensed bead placement ...
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Model Based Definition realizes the unified transmission of information between digital product design and manufacturing process, but it cannot provide support for the full life cycle management of digital Twin produc...
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ISBN:
(纸本)9783031176289;9783031176296
Model Based Definition realizes the unified transmission of information between digital product design and manufacturing process, but it cannot provide support for the full life cycle management of digital Twin products. This paper proposed the digital Twin Based Definition (DTBD) technology, and the definition, the application principles, the composition and characteristics, the way of interaction, the system hierarchical relationships, the division of sub-models and the collaborative relationship between them, are described in detail. The main procedures of developing DTBD model are presented. The model is built on MBD, and the evaluation of processing mode and efficiency of each module of the model will be obtained in the simulation system, which will be used as the basis for optimal design. The product operation data collected by sensors is processed by multiple information fusion algorithm to form the data group which is the basis for updating the digital Twin attribute of the model to the actual operation state of the product. The operational status data of the models is shared with industrial Internet technology, and to acquire the long-life model operating conditions, the differences between model states are analyzed by data mining algorithm. Product fault characteristics obtained by multi-scale information extraction algorithm are fed back to the data list of the model for design optimization, and to avoid similar failures, fault data is shared. DTBD as an enabling technology improves MBD, and promotes the development of digital Twin and intelligent manufacturing processes which cover design, processing, optimization and life cycle management.
Pillars in modern vehicles provide structural integrity by surrounding the greenhouse (windshield, rear, and side windows) and joining the roof with the frame. The forward-most roof support posts, A-pillars, straddle ...
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ISBN:
(纸本)9780791886212
Pillars in modern vehicles provide structural integrity by surrounding the greenhouse (windshield, rear, and side windows) and joining the roof with the frame. The forward-most roof support posts, A-pillars, straddle the windshield and have an essential design impact that affects the aerodynamic performance, roof crush, and frontal impact performance. Although they protect the driver and passengers, A-pillars also create obstruction zones by limiting drivers' forward field of view (FOV). Therefore, the reduced forward vision caused by the obstruction zones leads to unforeseeable accidents or mishaps. We argue that providing a better pillar design that embodies a human-centered design approach could avoid such incidents. In this research, we propose an early design framework that integrates methods of generative design (GD) and digitalhumanmodeling (DHM) to demonstrate a proof-of-concept study that focuses on quantifying A-pillar obstruction in realistic traffic scenarios. This research also aims to illustrate how the framework functions through a case study, which compares concept pillar designs with cutout sections (see-through holes) to current pillar models (without see-through holes) in reducing the obstruction zones. The framework is used to assess whether the concept design approach improves the overall drivers' visibility of traffic objects that would otherwise be obscured behind current pillars.
Metro is one of the most important forms of public transportation in Chinese cities. With the continuous expansion and development of metro networks in China's major cities, ensuring the safety of passengers has b...
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ISBN:
(纸本)9783031610653;9783031610660
Metro is one of the most important forms of public transportation in Chinese cities. With the continuous expansion and development of metro networks in China's major cities, ensuring the safety of passengers has become a key part of metro operation and management. However, there are some efficiency and human factors engineering deficiencies in the current metro security system. Some researchers have studied the efficiency of subway security systems and their influencing factors in subway or railroad stations. However, in actual subway stations, the spatial guidance in front of and behind the screening area is also one of the causes of congestion in the screening area. This study focuses on the deficiencies of spatial guidance in the subway, and the resulting congestion in the subway station, which leads to a reduction in the efficiency of the screening system. The implementation plan of this study is to explore the spatial guidance system of Guangzhou Metro, summarize the influencing factors of congestion, quantify and extract data for the influencing factors, and establish a model and data analysis. The interview method was used to invite volunteers to participate, and the information from the interviews was used for data statistics to quantify the influencing factors caused by the spatial guidance system, to establish an appropriate model for the influencing factors, and to determine the significant influencing factors of the spatial guidance on the congestion of people with respect to the data fed back from the model. The collected data and information are coded using the rooted theory research method, analyzed with the help of auxiliary software, and finally, three categories of first-level core influence factors of site layout design, guide signs, and human factors and corresponding second- and third-level subcategories are refined, and a system of influence factors on the efficiency of the process of the security system under the perspective of spatial guidanc
Artificial Intelligence Generated Content (AIGC) technology shows great potential in product design. However, relatively limited research has been conducted on combining theory to guide AIGC technology to enhance the ...
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The proceedings contain 133 papers. The topics discussed include: urban digital twin-based decision support for housing rebuilding choices in catastrophically flooded communities;autonomous UAV-based structural damage...
ISBN:
(纸本)9780784485248
The proceedings contain 133 papers. The topics discussed include: urban digital twin-based decision support for housing rebuilding choices in catastrophically flooded communities;autonomous UAV-based structural damage exploration platform for post-disaster reconnaissance;human-sensitive quantification of city-scale human activity changes during natural disasters;a spatial-temporal community vulnerability assessment framework based on human mobility trajectory simulation;using machine learning and aggregated remote sensing data for wildfire occurrence prediction and feature selection: a case study in California;rapid and automated vision-based post-disaster building debris estimation;American time use survey in modeling occupant behavior: a systematic review;leveraging immersive virtual environments for occupant well-being analysis;and using computer vision and parametric design software to quantify nature dose in indoor built environments.
With the rapid aging of the global population, the decline of hand function in older adults has become a critical issue, seriously affecting their independence and quality of life. Exergames for hand rehabilitation th...
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