Testing Oscillation and Optimization of the Motorcycle Frame Body Using Co-Simulation Method

The article is devoted to researching the durability of motorcycle frames with calculated loads in some cases of actual vehicle operation based on Vietnamese standards. The paper uses the multi-body system method to build a dynamic model suitable for the actual test problem according to the standard and optimize the mass of the motorcycle frame by the finite element analysis. The study includes an overview and analysis when choosing a motorcycle frame commonly used in Vietnam. A motorcycle frame of Wave brand is used to calculate and test the chassis durability with different parameters. Various internal loading modes are applied to the multi-body system model to help optimize the vehicle chassis mass by using specialized software. The authors calculated the load, built a durability model with static loads in practical working situations, built a multi-object system model to investigate the vehicle dynamics problem with the standards. This paper leads to the problem of optimizing the chassis thickness to reduce the weight of the chassis. Computers and optimization tools help engineers to save much time in the product design process. Investigating product optimization helps solve problems quickly, finding the best design, assisting engineers in developing the best strategies, and reducing time and costs during prototyping and testing.

Usability in the Product Design Process Based on the Intelligent Microprocessor

The sharing and reuse of product design experience knowledge is beneficial to shorten the product development cycle and improve product quality. The intelligent microprocessor has greatly changed the way of interaction between people and computers. This article mainly studies the usability analysis in the product design process based on the intelligent microprocessor. The experiment must first perform initial finite element calculations, and the purpose is to complete the data collection. The collection of evaluation indicators is carried out with the help of perceptual vocabulary classification, and the hierarchical inference method is used to build a tree-like analysis chart. After the indicator collection is completed, the Likert scale method is used to screen the indicators, and the evaluators will rate the selected indicators according to their importance. The Petri net modeling method is used to model the product design process, which mainly includes task element definition, task module division, task planning, and task allocation. Finally, the usability test of the product is carried out. Experimental data shows that the probability of completing the design task within 30 days is 27.74%. The results show that the intelligent microprocessor shortens the time-consuming process of product design and at the same time enhances product usability.

The Design Process for a Birthing Bed: Promoting Improvement in User Satisfaction

This article presents a comparative analysis of birthing beds, using two different design processes to realize if one improves user satisfaction by improving the design process. We present a comparative study between the traditional product design process (consumer product design) and the new design process based on hierarchies (proposed in this study), which improves the final design and increases user acceptance. The study focuses on pointing out the importance of a new design process for medical devices, which can improve the characteristics of the product design and thereby increase user satisfaction. The main contribution of this new process focuses on showing medical device designers the importance of considering the hierarchy of users around a medical product, considering the fluctuation of the patient's health status since depending on the progression of the disease, the patient needs the attention of various users. In turn, final users need to solve specific problems in each phase, and design needs to be prepared for each user's particular needs around the birthing bed and the patient.

Perancangan Produk Waistbag dengan Menggunakan Metode Quality Function Deployment (QFD)

Product design is a stage in the process of making products based on certain shapes, sizes, and colors. Industrial Home industry is a company engaged in the bag manufacturing industry that has its own product brand, Kaboa. The problem with this is that Kaboa waistbag products have experienced a decline in sales by the significance associated with several problems, namely (1) There are no new models or innovations in Kaboa waistbag products, (2). The objectives of this study are (1) To identify the needs and demands of customers who are priorities and prove to be a variable in the quality of waistbag product designs, (2) Make waistbag product designs according to customer desires and needs to be able to meet customer demand and search. In this study, the method used to develop and request waistbag products to suit customer needs is the Quality Function Deployment (QFD) method. The parameters used in the Kaboa waistbag product design process are 13 quality variables used as references. The best alternative product design options are products made from condura fabric with the cheapest production costs, good quality, strong and durable, with patterned colors according to the consumer and the company's target market with the company's ability. Abstrak. Perancangan produk merupakan tahapan dalam proses menciptakan sebuah produk berdasarkan model bentuk, ukuran, dan warna tertentu. Home industri Kindustries merupakan perusahaan yang bergerak dibidang industri pembuatan tas yang memiliki brand produk sendiri yaitu Kaboa. Permasalahan yang dihadapi adalah produk waistbag Kaboa telah mengalami penurunan penjualan secara signifikan yang disebabkan beberapa permasalahan yaitu (1) Belum banyaknya model atau inovasi baru pada produk waistbag Kaboa, (2) Pangsa pasar sempit yang hanya di fokuskan kepada kalangan orang yang senang melakukan kegiatan outdoor. Tujuan pada penelitian ini adalah (1) Mengidentifikasi kebutuhan dan keinginan pelanggan yang menjadi prioritas dan menerjemahkannya menjadi variabel kualitas rancangan produk waistbag, (2) Membuat usulan rancangan produk waistbag sesuai keinginan dan kebutuhan pelanggan untuk dapat memenuhi kebutuhan pelanggan dan upaya memperluas pasar untuk meningkatkan penjualan. Dalam penelitian ini, metode yang digunakan untuk mengembangkan dan merancang produk waistbag agar sesuai kebutuhan dengan keinginan pelanggan adalah metode Quality Function Deployment (QFD). Parameter yang digunakan dalam proses desain produk waistbag yaitu berupa 13 variabel kualitas yang digunakan sebagai acuan. Alternatif desain produk pilihan terbaik rancangan produk berbahan kain condura dengan biaya produksi paling murah, berkualitas baik, kuat dan tahan lama, dengan warna bermotif sesuai penilaian konsumen dan target pasar perusahaan serta kemampuan perusahaan.

A Machine Learning Framework for Decision Support in Design and Manufacturing

The widespread adoption of computer-aided design (CAD) and manufacturing (CAM) tools has resulted in the acceleration of the product development process, reducing the time taken to design a product [46]. However, the product development process, for the most part, is still decentralized with the design and manufacturing reviews being performed independently, leading to differences between as-designed and as-manufactured component. A successful product needs to meet its specifications, while also being manufacturable. In general, the design engineer ensures that the product is able to function according to the specified requirements, while the manufacturing engineer gives feedback to the design engineer about its manufacturability. This iterative process is often time consuming, leading to longer product development times and higher costs. Recent researches in integrating design and manufacturing [24, 28, 46] have tried to reduce these differences and making the product development process easier and accessible to designers, who may not be manufacturing experts. In addition, there have been different efforts to enable a collaborative product development process and reduce the number of design iterations [8, 10, 41]. However, with the increase in complexity of designs, integrating the manufacturability analysis within the design environment provides an ideal solution to improve the product design process.

Key Approaches, Risks, and Product Performance in Managing the Development Process of Complex Products Sustainably

In the Industry 4.0 environment, being sustainably competitive is essential in global markets. In an endeavor to optimize the added value in the design process of complex products such as robots, managing the development process of such products is studied. The present study identifies the level of product performance that yields maximum return on product development in Industry 4.0. The study also identifies and reviews the key approaches to understanding and managing the design process of such complex products. It has been found that the hybrid approach is the most efficient approach. The study proposes an approach to effectively manage risk in the product design process that hybridizes attributes of both the lean and agile design paradigms. The proposed approach has been validated using five case studies with 99% level of statistical confidence. The results of this study enable efficient development of complex products such as robotic systems towards realizing sustainable competitiveness.

A Systematic Approach for Evaluating the Adoption of Additive Manufacturing in the Product Design Process

Additive Manufacturing (AM) technologies have expanded the possibility of producing unconventional geometries, also increasing the freedom of design. However, in the designer’s everyday work, the decision regarding the adoption of AM for the production of a component is not straightforward. In fact, it is necessary to process much information regarding multiple fields to exploit the maximum potential of additive production. For example, there is a need to evaluate the properties of the printable materials, their compatibility with the specific application, redesign shapes accordingly to AM limits, and conceive unique and complex products. Additionally, procurement and logistics evaluations, as well as overall costs possibly extending to the entire life cycle, are necessary to come to a decision for a new and radical solution. In this context, this paper investigates the complex set of information involved in this process. Indeed, it proposes a framework to support and guide a designer by means of a structured and algorithmic procedure to evaluate the opportunity for the adoption of AM and come to an optimal design. A case study related to an ultralight aircraft part is reported to demonstrate the proposed decision process.