Identification of Key Parameters for Adaptable Design

Author(s):  
David Moya Carreras ◽  
Cristina Carro Saavedra ◽  
Phillip Schrieverhoff ◽  
Sebastian Haupt ◽  
Udo Lindemann
Keyword(s):  
Author(s):  
M. Hashemian ◽  
P. Gu

The environmental impacts of a product can be reduced in the three phases of its life cycle: production supply chain, service and retirement. The reduction of production volume, especially by extending the service life of existing products would mitigate environmental impacts. Durability, maintenance and repair can prolong normal operation. However, if service requirements change, the product may be retired while still in working condition. In these cases, retirement could be postponed if the product is capable of “adapting” to the new requirements. This paper shows the scope of “postponing retirement” in environmental design research, and discusses the benefits of adaptable design.


2020 ◽  
Vol 40 (1) ◽  
pp. 50-59
Author(s):  
Marta Royo González ◽  
Elena Mulet ◽  
Vicente Chulvi ◽  
Julia Galán

The aim of adaptable design is to create products that can easily adapt to different needs. The objective if this study is to analyze the effectivenes in communication to promote an adaptable baby stroller, in order to know the user perception of the advantages derived from its adaptability, as well as the environmental ones, and if there is correlation between them. It is also intended to determine whether age or previous experience with this type of product can influence this perception. To this effect, a study with 54 participants has been conducted. Results show that users percieve the advantages and find the adaptable design interesting. Valuation of the advantages of the product is affected by previous user experience with the need for adaptability. Valuation of the environmental benefits is independent from the degree of experiense, as well as from the age of the participants (between 30 and 45 years old).


2021 ◽  
Author(s):  
Lisa Marshall

Poor communities around the world have developed architecture without architects. Subsidized low-income housing has been built as if to provide only a shortterm solution. Poverty and lack of affordable housing is not a short-term problem but an ongoing issue that demands creative adaptable solutions for a changing world. Adaptable architecture is essential for the redesign of affordable housing that is environmentally, economically, and socially sustainable. In order to mend the broken bond between lower-incomes and the architectural quality of space, this design research strives to both defend and produce affordable architectural alternatives to housing through the use of adaptable design principles and strategies found within Barbados’ Vernacular Architecture, the Chattel house.


Author(s):  
Alessandro Scano ◽  
Andrea Chiavenna ◽  
Tito Dinon ◽  
Alessio Prini ◽  
Giulio Spagnuolo ◽  
...  

In the modern scenario of neurological rehabilitation, which requires affordable solutions oriented toward promoting home training, the Institute of Industrial Technologies and Automation (ITIA) of the Italian National Research Council (CNR) developed a line of prototypal devices for the rehabilitation of the upper limb, called “Arm.” Arm devices were conceived to promote rehabilitation at affordable prices by capturing all the main features of the state-of-the-art devices. In fact, Arm devices focus on the main features requested by a robot therapist: mechanical adaptation to the patient, ranging from passive motion to high transparency, assist-as-needed and resistive modalities; proper use of sensors for performance monitoring; easy-to-use, modular, and adaptable design. These desirable features are combined with low-cost, additive manufacturing procedures, with the purpose of meeting the requirements coming from research on neuro-motor rehabilitation and motor control and coupling them with the recent breakthrough innovations in design and manufacturing.


Author(s):  
Y. Li ◽  
D. Xue ◽  
P. Gu

Adaptable design is a new design paradigm to create designs and products that can be easily changed to satisfy different requirements. Adaptable design aims at identifying the designs and products considering functionality, manufacturing efforts, customization and environment friendliness. This research focuses on adaptable design considering product adaptability. In this work, product adaptability is evaluated by three measures including extendibility of functions, upgradeability of modules, and customizability of components. Various design candidates created in adaptable design are evaluated by different life-cycle evaluation measures including product adaptability of design, part and assembly costs of manufacturing, and operationability by customers. Since different evaluation measures are modeled in different units, the grey relational analysis method is employed to integrate the different evaluation measures for prioritizing different design candidates. A case study is given to demonstrate the effectiveness of the introduced adaptable design approach.


Author(s):  
Yanwei Zhao ◽  
Huijun Tang ◽  
Nan Su ◽  
Wanliang Wang

Design for product adaptability is one of the techniques used to provide customers with products that exactly meet their requirements. Clustering methods have been used extensively in the study of product adaptability design. Of the clustering methods, the fuzzy clustering method is the most widely in the design field. The three main kinds of fuzzy clustering methods are the transitive closure method, the dynamic direct method and the maximum tree method. The dynamic direct clustering method has been found to produce design solutions with the lowest cost. In this paper, a new approach for obtaining adaptable product designs using the clustering method is proposed. The method consists of three steps. Firstly, the extension distance formula is used to determine the distance between two products in a product database. The product design space and the distances between individuals are used as grouping criteria in this step. Secondly, the minimal distance between products is used to obtain the clustering index. Thirdly, the threshold value is used to divide the products in the database into groups. Customer demands and the results obtained from the adaptable function (based on the extension distance formula) are used to evaluate the fitness of the groups and their corresponding products. The product with the largest adaptable function value to demand ratio is selected product. In order to the show the advantage of using the extension-clustering method, both the extension-clustering method and the dynamic direct method are presented and compared. The comparison indicates that the extension-clustering method leads to quicker evaluations of design alternatives and results that more closely match customers’ demands. An example of the adaptable design of circular saws tools is used to demonstrate that with the extension-clustering design method a high variety of intelligent configurations can be obtained with significant rapidity.


2013 ◽  
Vol 589-590 ◽  
pp. 675-679
Author(s):  
Zi Qiang Zhang ◽  
Zhi Feng Deng ◽  
Run Dian Li

Aiming at there are multifarious small shaft and sleeve subassemblies, in which shape and quantity of parts are different, the adaptable design concept was applied to the design of auto assembly machine product platform for small shaft and sleeve subassemblies. According to the general structure design and the module partition for the product platform, a parameterized design method that the number of stations is the main parameter was proposed. And the parameterized product platform, which can be suitable for the automatic assembling of multifarious small shaft and sleeve subassemblies and can be upgraded, was founded. Thus, the universality of the product platform is improved, and the product design cycle is shortened.


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