Synthesis and characterisation of heatproof polyester polyols used in polyurethane adhesive

2016 ◽  
Vol 45 (6) ◽  
pp. 439-443 ◽  
Author(s):  
Tingting Xu ◽  
Cuifeng Zhang ◽  
Lijun Chen

Purpose Presently, a wide range of polyurethane adhesives can be obtained using different kinds of polyols and isocyanates. However, the applied temperature of the polyurethane adhesive is not more than 80°C. The film of polyurethane adhesive will be softened and deformed when its applied temperature is more than 100°C. Thus, the mechanical property of the polyurethane adhesive is decreased clearly, which limits its further application. The purpose of the study is to improve the heat resistance of polyols, especially polyester polyols and its resultant polyurethane adhesives. Design/methodology/approach The more rigid benzene ring is introduced into the polyester polyols to improve the heat resistance of its resultant polyurethane adhesive. Findings The more rigid benzene ring has ben introduced into the polyester polyols and the heat resistance of its resultant polyurethane adhesive is improved. Originality/value The polyester polyols with more rigid benzene ring have been prepared successfully by the vacuum melting method when diethylene glycol, neopentyl glycol, 1,6-hexanediol, ethanediol, isophthalic acid, terephthalic acid, sebacic acid and adipic acid are used as raw materials and tetra-isopropyl titanate is adopted as the catalyst.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moawiya A. Haddad ◽  
Sharaf S. Omar ◽  
Salvatore Parisi

PurposeThe purpose of this study comes from the need of defining improved durability values and the realization of a good traceability management for selected vegan cheeses has suggested the comparison between a processed cheese and its analogous version without animal-origin raw materials. The durability should be studied at a well-defined temperature, probably agreed among the food producer and the food processor. In addition, the traceability system should consider many components and related suppliers.Design/methodology/approachA supply chain risk assessment analysis has been carried out with relation to two different products: an analogue cheese and a vegan cheese-like preparation. Raw materials and ingredients have been evaluated (production method and origin; geographical identification), with the aim of identifying simplified food.FindingsAn assessment of food supply networks has been carried out. In the first situation (analogue cheeses), the ingredient “cheeses” shows an important complexity: five suppliers with a related six-interconnection hub. On the other side, vegan cheeses are obtained from 11 ingredients (a challenging hub); four of them may be produced from 2–5 components of different origin (five total hubs). Tested processed cheeses are represented by means of a linear food supply network with two hubs (cheeses and “arrival” show degrees 6 and 9, respectively). Networks concerning vegan cheeses include five different hubs: four complex raw materials (degree: 2, 3, 4 and 5) and the “arrival” step (degree: 12).Originality/valueThe information load of vegan cheeses (two hubs, degrees >> average degree) appears high if compared with processed cheeses (two hubs), although the complexity of networks appears similar. Vegan cheeses may seem technologically simpler than processed cheeses and be sometimes questioned because of important traceability issues. Adequate traceability countermeasures in terms of preventive monitoring actions should be recommended when speaking of vegan cheeses. Anyway, a centralized manager would be always required.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ben Wielenga

Purpose The purpose of this paper is to share architecture as a tool that is increasingly implemented in nature areas and its potential for stimulating transformative experiences among visitors in nature-based tourism. Design/methodology/approach Based on three examples of architecture in nature, the value of architecture to nature-based tourism is presented. Findings It was found that architecture in nature has a wide range of benefits for nature-based tourism and may form a catalyst for gaining transformative experiences in the examples presented. Originality/value The findings presented in this paper touch upon a new way of stimulating transformative experiences among visitors in nature-based tourism by implementing architecture.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ilze Gūtmane ◽  
Silvija Kukle ◽  
Inga Zotova ◽  
Artūrs Ķīsis

PurposeBased on profound information lacking in compiled information materials, the risks of losing knowledge related to the values of traditional woodworking processes are increasing. The purpose of this article is to collect and structure diverse marking tool data into a comprehensive, understandable and clear design schematic view, which serves as a basis for the accumulation and preservation of diverse marking objects and shows woodworking marking tool relation in the group and subgroup levels.Design/methodology/approachA method for marking tools structuring and analysis are described, including breaking down a set of objects into groups of marking objects, and assigning one or more attributes to the parcelled objects by arranging them into hierarchic levels. Research is based on marking tools used by carpenters, joiners and woodcarvers mainly in the Baltic region.FindingsCollected data, object analyses and comparison within-group and subgroup levels are based on written and visual sources, museum and museum funds visits, and participation in the local craftsmen events. The created structure is expandable in group and subgroup levels. The most comprehensive way for object structuring is chosen as a base to reveal a diversity of the objects.Originality/valueStructure schemes of woodworking marking tools are important in scientific, educative and cultural levels based on their wide range and use. Aggregated information of the woodworking tools serves as a base for existing tool studies and improvement, new tool and wood product creation as well as complements the structure of the upcoming woodworking hand tool database and book.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pushkar Prakash Kamble ◽  
Subodh Chavan ◽  
Rajendra Hodgir ◽  
Gopal Gote ◽  
K.P. Karunakaran

Purpose Multi-jet deposition of the materials is a matured technology used for graphic printing and 3 D printing for a wide range of materials. The multi-jet technology is fine-tuned for liquids with a specific range of viscosity and surface tension. However, the use of multi-jet for low viscosity fluids like water is not very popular. This paper aims to demonstrate the technique, particularly for the water-ice 3 D printing. 3 D printed ice parts can be used as patterns for investment casting, templates for microfluidic channel fabrication, support material for polymer 3 D printing, etc. Design/methodology/approach Multi-jet ice 3 D printing is a novel technique for producing ice parts by selective deposition and freezing water layers. The paper confers the design, embodiment and integration of various subsystems of multi-jet ice 3 D printer. The outcomes of the machine trials are reported as case studies with elaborate details. Findings The prismatic geometries are realized by ice 3 D printing. The accuracy of 0.1 mm is found in the build direction. The part height tends to increase due to volumetric expansion during the phase change. Originality/value The present paper gives a novel architecture of the ice 3 D printer that produces the ice parts with good accuracy. The potential applications of the process are deliberated in this paper.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandra Gauer ◽  
Barbara Germann

Purpose The purpose of this paper is to develop a framework on how to deal with stressors emerging from the COVID-19 outbreak. The theoretical framework aims to explain pandemic-related stressors and potential ways to prevent them, considering a wide range of interacting factors at individual, team and organizational levels to ensure their employees’ health. Design/methodology/approach The authors drew on an integrative literature review to identify pandemic-related stressors influenceable by the organization and gathered solution approaches to counteract them. Popular psychological stress theories served as a theoretical base for the framework. Findings The authors based the framework on an integration of the transactional stress theory (Lazarus and Folkman, 1984) and the job demands resources model (Schaufeli and Bakker, 2004), focusing on their respective theoretical strengths. The final framework offers a solid orientation for scholars regarding the introduction of holistic and strategic measures in coping with pandemic-related stressors. A section describing possibilities for practitioners’ use of the framework has been integrated. Originality/value To the best of the authors’ knowledge, this study is the first to offer a framework on how to handle COVID-19-related stressors in the workplace by implementing teamwide and companywide measures.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rachael Frost ◽  
Kate Walters ◽  
Jane Wilcock ◽  
Louise Robinson ◽  
Karen Harrison Dening ◽  
...  

PurposePost-diagnostic dementia care is often fragmented in the United Kingdom, with great variation in provision. Recent policies suggest moving towards better community-based care for dementia; however, little is known on how this care is delivered. This study aimed to map the post-diagnostic dementia support provided in England a decade after the introduction of a National Dementia Strategy.Design/methodology/approachA mixed-methods e-survey (open Nov 2018–Mar 2019) of dementia commissioners in England recruited through mailing lists of relevant organisations was conducted. The authors descriptively summarised quantitative data and carried out thematic analysis of open-ended survey responses.Findings52 completed responses were received, which covered 82 commissioning bodies, with representation from each region in England. Respondents reported great variation in the types of services provided. Information, caregiver assessments and dementia navigation were commonly reported and usually delivered by the voluntary sector or local authorities. Integrated pathways of care were seen as important to avoid overlap or gaps in service coverage. Despite an increasingly diverse population, few areas reported providing dementia health services specifically for BME populations. Over half of providers planned to change services further within five years.Practical implicationsThere is a need for greater availability of and consistency in services in post-diagnostic dementia care across England.Originality/valuePost-diagnostic dementia care remains fragmented and provided by a wide range of providers in England.


2020 ◽  
Vol 40 (9/10) ◽  
pp. 1021-1039
Author(s):  
Kaz Stuart ◽  
Mark A. Faghy ◽  
Elaine Bidmead ◽  
Ruth Browning ◽  
Catriona Roberts ◽  
...  

PurposeThis paper proposes a biopsychosocial (BPS) analysis of COVID-19 experiences which enhances understanding of complex and interrelated factors and leads to the proposition of a BPS recovery framework.Design/methodology/approachOnline narrative research was used to explore people's experiences of COVID-19 and was conducted over a four-month period. The call was distributed via a short open-ended qualitative online survey advertised on social media platforms and 305 responses came from across England.FindingsThe findings illustrate people with a narrow range of BPS characteristics experienced over a wide range of BPS impacts which are nuanced, complex and dynamic. Left unaddressed these may create future adverse BPS characteristics. An integrated BPS framework for recovery is proposed to avoid such further negative outcomes from the pandemic.Research limitations/implicationsThe sample contained a bias in age, gender and living arrangements.Practical implicationsThe paper offers a clear framework to enable integrated holistic recovery/regrowth planning.Social implicationsUsing the framework would reduce social and health inequities which have been recently deepened by COVID-19 in the long-term.Originality/valueThe paper is original in its use of a BPS analytical framework.


Sensor Review ◽  
2014 ◽  
Vol 34 (1) ◽  
pp. 9-12 ◽  
Author(s):  
Richard Bloss

Purpose – Review of the advancements in non-contact laser sensors for much more accurate real time speed as well as length measurements. The paper aims to discuss these issues. Design/methodology/approach – In-depth review of a number of applications of laser sensors. Findings – A wide range of manufacturers in the converting industries have solved measurement problems and realized major improvements in product quality, cost of production and productivity by applying laser measurement as well as reduction in scrap. Practical implications – Others with the need to make very accurate measurements of speed and length in real time may find that laser sensors may provide the answer. Originality/value – An expert insight into how to solve real time speed and length measurement problems.


2014 ◽  
Vol 81 (2) ◽  
pp. 562-568 ◽  
Author(s):  
C. Trunet ◽  
N. Mtimet ◽  
A.-G. Mathot ◽  
F. Postollec ◽  
I. Leguerinel ◽  
...  

ABSTRACTThe apparent heat resistance of spores ofBacillus weihenstephanensisandBacillus licheniformiswas measured and expressed as the time to first decimal reduction (δ value) at a given recovery temperature and pH. Spores ofB. weihenstephanensiswere produced at 30°C and 12°C, and spores ofB. licheniformiswere produced at 45°C and 20°C.B. weihenstephanensisspores were then heat treated at 85°C, 90°C, and 95°C, andB. licheniformisspores were heat treated at 95°C, 100°C, and 105°C. Heat-treated spores were grown on nutrient agar at a range of temperatures (4°C to 40°C forB. weihenstephanensisand 15°C to 60°C forB. licheniformis) or a range of pHs (between pH 4.5 and pH 9.5 for both strains). The recovery temperature had a slight effect on the apparent heat resistance, except very near recovery boundaries. In contrast, a decrease in the recovery pH had a progressive impact on apparent heat resistance. A model describing the heat resistance and the ability to recover according to the sporulation temperature, temperature of treatment, and recovery temperature and pH was proposed. This model derived from secondary mathematical models for growth prediction. Previously published cardinal temperature and pH values were used as input parameters. The fitting of the model with apparent heat resistance data obtained for a wide range of spore treatment and recovery conditions was highly satisfactory.


2017 ◽  
Vol 7 (2) ◽  
pp. 163-184 ◽  
Author(s):  
Xiaofen Tan ◽  
Yongjiao Ma

Purpose The purpose of this paper is to empirically analyze the impact of macroeconomic uncertainty on a large sample of 19 commodity markets. Design/methodology/approach The authors rely on Jurado et al.’s (2015) measure of macroeconomic uncertainty based on a wide range of monthly macroeconomic and financial indicators and estimate a threshold VAR model to assess whether the impact of macroeconomic uncertainty on commodity prices differs under the high- or low-uncertainty state. Findings The findings show that positive macroeconomic uncertainty shocks affect commodity prices returns negatively on average and the impact of macroeconomic uncertainty is generally higher in high-uncertainty states compared with low-uncertainty states. Besides, although the safe-haven role of precious metals is confirmed, energy and industrial markets are more sensitive to short-run and long-run macroeconomic uncertainty, respectively. Research limitations/implications The findings in this study suggest that commodity prices reflect not only the level of economic fundamental but also the volatility of economic fundamental. Originality/value This study empirically analyzes and verifies the influence of macroeconomic uncertainty not only on oil prices but also on four groups of 19 raw materials. As for the methodological issues, the authors rely on a structural threshold vector autoregressive specification for modeling commodity price returns to account for potentially different effects depending on the macroeconomic uncertainty states.


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