Comfort Evaluation of Textile Products －Case Study on Clothing Comfort Evaluation for Men's Suit Pants－

2021 ◽  
Vol 77 (9) ◽  
pp. P-472-P-475
Author(s):  
HIROYUKI KANAI
Keyword(s):  
Clothing Comfort ◽  
Comfort Evaluation ◽  
Textile Products

Acoustic comfort evaluation for a conference room: A case study

2017 ◽  
Vol 118 ◽  
pp. 39-49 ◽  
Author(s):  
Abdelghani Gramez ◽  
Fouad Boubenider
Keyword(s):  
Conference Room ◽  
Comfort Evaluation ◽  
Acoustic Comfort

scholarly journals Effect of direct solar projected area factor on outdoor thermal comfort evaluation: A case study in Shanghai, China

Urban Climate ◽  
2022 ◽  
Vol 41 ◽  
pp. 101033
Author(s):  
Zhengrong Li ◽  
Xiwen Feng ◽  
Xueke Fan ◽  
Jingting Sun ◽  
Zhaosong Fang
Keyword(s):  
Thermal Comfort ◽  
Outdoor Thermal Comfort ◽  
Projected Area ◽  
Comfort Evaluation

A Case Study on Re-design of Textile Products

2013 ◽  
Vol 13 (3) ◽  
pp. 635-645
Author(s):  
Eom, Kyoung-Hee ◽  
김국원
Keyword(s):  
Textile Products

scholarly journals Guests’ assessment of hotel facilities and services: Zadar case study

2020 ◽  
Vol 10 (3) ◽  
pp. 241-250
Author(s):  
Krzysztof Parzych ◽  
Jadranka Brkić-Vejmelka
Keyword(s):  
City Centre ◽  
Location Factors ◽  
Tourist Destination ◽  
Railway Station ◽  
Comfort Evaluation ◽  
Location Determinants ◽  
The Impact ◽  
The City ◽  
Selection Of

Abstract The availability of hotel facilities and services and their quality are one of the most important factor in selection of a tourist destination. The aim of the article was to analyse the impact of hotel location factors, prices of hotel services and detailed assessments of hotel services provided by the hotel on the overall rating of the hotel. As a case study, Zadar – a city located in the northern part of the Dalmatian coast of Croatia – was used to analyse the problem. The location determinants of hotels and their equipment were assessed in relation to the price of accommodation and tourists’ evaluation of the basic components of hotel services. The analysis used data obtained from the Booking.com website for accommodation prices, including selected days of the high and low season, data on the number of opinions about the object and the rating of the object by guests in terms of the overall opinion about the object, its location conditions, the standard of services rendered, cleanliness, comfort, evaluation of staff work, access to Wi-Fi network and assessment of services rendered in relation to the price of the service. The obtained results indicate hotel location, especially its distance from the city centre, railway station and airport and evaluation of chosen elements of customers’ hotel evaluation are most significant determinants of choosing accommodation for tourists.

scholarly journals Designing Predictive Tools for Personalized Functionalities in Knitted Performance Wear

2019 ◽  
pp. 42-75
Author(s):  
Martijn Ten Bhömer ◽  
Hai-Ning Liang ◽  
Difeng Yu ◽  
Yuanjin Liu ◽  
Yifan Zhang ◽  
...  
Keyword(s):  
Design Process ◽  
New Technologies ◽  
Research Question ◽  
Design Tools ◽  
Main Research ◽  
Research Through Design ◽  
Predictive Algorithms ◽  
Predictive Software ◽  
Textile Products

Developments of advanced textile manufacturing techniques—such as 3D body-forming knitwear machinery—allows the production of almost finalized garments, which require little to no further production steps to finalize the garment. Moreover, advanced knitting technology in combination with new materials enables the integration of localized functionalities within a garment on a “stitch by stitch level.” There is potential in enhancing the design tools for advanced knitting manufacturing through the use of technologies such as data gathering, machine learning, and simulation. This approach reflects the potential of Industry 4.0, as design, product development, and manufacturing are moving closer together. However, there is still limited knowledge at present about how these new technologies and tools can have an impact on the creative design process. The case study presented in this paper explores the potential of predictive software design tools for fashion designers who are developing personalized advanced functionalities in textile products. The main research question explored in this article is: “How can designers benefit from intelligent design software for the manufacturing of advanced personalized functionalities in textile products?”. Within this larger research question three sub-research questions are explored: (1) What kind of advanced functionalities can be considered for the personalization process of knitwear? (2) How to design interactions and interfaces that use intelligent predictive algorithms to stimulate creativity during the fashion design process? (3) How will predictive software impact the manufacturing process for other stakeholders and production steps? These questions are investigated through the analysis of a Research Through Design case study, in which several predictive algorithms were compared and implemented in a user interface that would aid knitwear designers during the development process of high-performance running tights.

scholarly journals Electrostatic Properties of Clothing Fabrics Suitable for Different End-Uses

2020 ◽  
Vol 28 (1(139)) ◽  
pp. 50-57
Author(s):  
Gülçin Cilveli ◽  
Ayşe Okur ◽  
Vildan Sülar
Keyword(s):  
Structural Parameters ◽  
Woven Fabrics ◽  
Static Electricity ◽  
Main Subject ◽  
Electrostatic Properties ◽  
Experimental Part ◽  
Clothing Comfort ◽  
Electrostatic Charging ◽  
Electrostatic Voltmeter ◽  
Textile Products

The static electricity properties of textile products are very important, especially when clothing comfort is the main subject. In this study, four sets of clothing fabrics containing 33 systematic and 18 non-systematic woven fabrics in total were used in order to examine the electrostatic charging properties. A testing mechanism which provides static electricity by the triboelectrification method was manufactured, and electrostatic voltage values occurring on the fabric samples were measured by an electrostatic voltmeter simultaneously with the testing mechanism. The repeatability of the results was checked by using polyester and cotton systematic woven fabrics. After this stage, the effects of fabric structural parameters and the rubbing period on electrostatic charging properties were evaluated. Moreover, non-systematic commercial woven fabrics were also tested in the study. In the last section of the experimental part, the best clothing and lining fabric combinations were revealed according to the lowest static electricity results.

Physique differences and psychophysiological response under clothing pressure using waist belt

2019 ◽  
Vol 32 (1) ◽  
pp. 63-72
Author(s):  
Mayumi Uemae ◽  
Tomohiro Uemae ◽  
Masayoshi Kamijo
Keyword(s):  
Body Fat ◽  
Near Infrared ◽  
Functional Near Infrared Spectroscopy ◽  
Content Type ◽  
Response Data ◽  
Psychophysiological Response ◽  
Clothing Comfort ◽  
Comfort Evaluation ◽  
Clothing Pressure ◽  
Physiological Reactions

Purpose The purpose of this paper is to examine the physique difference and psychophysiological response under clothing pressure by a waist belt. Design/methodology/approach The influences of clothing pressure on physiological and psychological responses were evaluated by the following measurements: functional near-infrared spectroscopy, electrocardiogram and sensory evaluation. The authors investigated the correlation between the anthropometric data and psychophysiological response data. Findings There were significant correlations between body fat and physiological responses. It was suggested that differences in body fat affect changes in cerebral hemodynamics and heart rate due to clothing pressure. It is inferred that the participants having lower body fat reacted more sensitively to the compression stimulus, while those having higher body fat were more tolerant of physiological reactions to compression stimulus. Originality/value This paper has presented the necessity of clothing comfort evaluation considering individual differences in physique due to body fat.

scholarly journals Quality inspection and prediction of the comfort of fabrics finished with functional polymers

2020 ◽  
Vol 71 (04) ◽  
pp. 340-349
Author(s):  
MELKIE G.TADESSE ◽  
EMIL-CONSTANTIN LOGHIN ◽  
VINCENT NIERSTRASZ ◽  
MARIA-CARMEN LOGHIN
Keyword(s):  
Mechanical Properties ◽  
Evaluation System ◽  
Correlation Coefficients ◽  
Functional Polymers ◽  
Quality Inspection ◽  
Total Quality ◽  
Confidence Levels ◽  
Clothing Comfort ◽  
Comfort Evaluation

Textile’s primary hand (HV) and total hand values (THV) are very important parameters and are used to identify the quality of clothing comfort. This paper aims to predict the HV and THV of the fabrics finished with functional polymers by applying Kawabata’s translation equations. The mechanical properties were achieved using Kawabata’s fabric evaluation system (KES-F) and the inference/interpretation was drawn. Then, HV and THV predictions were performed by applying Kawabata’s translation equations of the KN-101 and KN-301 series. The KES-F result confirmed that it is possible to observe the operative finishing effect on the mechanical properties of fabrics. The prediction results show that the total quality comfort of the functional fabrics could able be estimated by the equation developed by Kawabata; the calculated errors (~0.66) were within the range of the standard deviations (~0.78) of the samples between the predicted and ranked THV. The experimental and the calculated primary hand values showed strong correlation coefficients up to ~0.98 which is significant at 0.001 confidence levels. As actual functional fabrics with various surface properties were provided to estimate their tactile comfort via the equations, the result verified that the equation is reliable for the tactile comfort evaluation and grading.

Quantify Clothing Comfort of Textile Products

2019 ◽  
Vol 75 (6) ◽  
pp. P-313-P-318
Author(s):  
TOYONORI NISHIMATSU
Keyword(s):  
Clothing Comfort ◽  
Textile Products
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