Sp100402
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1. The document discusses using wavelet texture analysis to automatically identify and classify animal fibers like cashmere and merino wool. 2. Currently, fiber identification relies on microscopy which is tedious and subjective. Wavelet texture analysis extracts surface feature data from fiber images using dual-tree complex wavelets. 3. Preliminary results show wavelet texture analysis can successfully distinguish cashmere from merino wool fibers based on extracted energy features from fiber images and principal component/discriminant analysis classification.
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2. ANN models have been developed to predict cotton grade more objectively than subjective human methods. Models also allow designing yarns to meet target properties based on fiber characteristics. ANN is a useful tool for solving complex nonlinear problems in textiles that lack algorithmic solutions.
Natural fiber textile composite engineering
This book provides an overview of natural fiber textile composite engineering. It covers applications of natural fiber composites, design of these composites, and manufacturing techniques. The book is divided into four sections that address applications, design which includes reinforcement and matrix materials, manufacturing including agriculture waste, and testing methods. It aims to fill the gap between textile engineers and composite designers by providing information on using textiles in composites.
International conference textiles and fashion
This document summarizes research on characterizing yarn diameter using different measurement techniques. Several commercial instruments and laboratory methods are described that use optical, capacitive, or combined principles to measure yarn diameter and irregularity. Data from tests on various yarns using Uster Tester 4, QQM-3, and Lawson-Hemphill systems were analyzed using a MATLAB program. The program revealed the yarn diameter data was better characterized by a bimodal rather than normal distribution, highlighting limitations of some commercial instrument analyses. Further analysis of the bimodal data distribution provided more detailed information about yarn diameter characteristics.
Midsemreview ppt on multiscale modelling using fem
This document discusses multi-scale modeling of composite materials. It introduces multi-scale modeling, which considers material behavior at the atomic, microscopic, and macroscopic scales. This provides more accurate results than traditional modeling with fewer assumptions. The document outlines work done developing analytical formulations to model a composite with an epoxy matrix reinforced with continuous glass fibers. Future work includes using ANSYS to simulate the mathematical model and compare results to the analytical formulations. This will validate the multi-scale modeling approach for use in more complex composites like polymers with nanotube or nanoplatelet fillers.
ACCIS_ConferencePoster2016_AdamThompson
This document describes a modelling approach developed to predict the mechanical and kinematic behavior of woven fabrics during compaction without requiring access to physical specimens. The method uses a two-step process of first generating the initial woven fabric geometry and then using that geometry to create a 3D finite element model coupled with a hyper-elastic material model. This allows for accurate predictions of both the geometrical changes and mechanical response of single or multi-layer fabrics during compaction.
Eco Friendly Extraction and Physico-Chemical Characteristics of Cissus Quadra...
Cissus quadrangualaris plant yield fibers and all the parts of this plant can be utilized in many applications. In
recent days, textile industries are widely using plant fibers for numerous applications acquired from lots of resources. The
advantage of natural fibers is their continuous supply, easy and safe handling, and biodegradable nature. The usage of
enzymes in the textile industry consents the development of eco-friendly technologies in fiber processing and tactics to
improve the final product quality. In the present work, natural cellulosic fibers were extracted from Cissus quadrangualaris
plant using an eco-friendly method (amylase enzyme). The physico-chemical, thermal and mechanical properties of Cissus
quadrangualaris fibers were reported in this paper. Further, the properties of CQSF ensured that it can play an imperative
role in the textile manufacturing industries
SPINNING Avengers
This document summarizes the yarn manufacturing process. It discusses the key textile raw materials used which include cellulosic, protein, synthetic, mineral and organic fibers. The properties required for spinning fibers into yarns are described. The manufacturing stages are then outlined which include blowroom, carding, drawing, roving, ring frame, and combing. Each stage is defined along with its functions such as opening, cleaning, blending, drafting and twisting fibers to produce yarns of different sizes, textures and characteristics for various fabric end uses.
fdocuments.in_fibre-testing.ppt
- Testing is important in the textile industry to ensure high quality products. Fiber testing is carried out at various stages - fiber, yarn, fabric and garment.
- Proper sampling is required as textile testing is both time consuming and destructive. Samples should be representative of the overall lot. In cotton, sampling is done at the bulk, basic, and laboratory levels.
- Key fiber properties that are tested include length, strength, fineness, and maturity. Tests are conducted under standard atmospheric conditions. Test results need to be properly interpreted and applied to fiber selection and process control.
“Analyzing Mechanical Properties Of Natural Fibers Reinforced With Tea Powder”
the research was conducted to analysis mechanical properties of composite material reinforced with tea powder
005 characterization-of-yarn-diameter-measured-on-different
This document summarizes a study that characterized yarn diameter measured using different instruments. Several commercial instruments were used to measure yarn diameter including the Uster tester 4, Lawson Hemphill YAS system, QQM3, and optical microscope. The data obtained from these instruments was analyzed using the D-yarn program which found that yarn diameter often has a bimodal distribution, in contrast to Uster tester results that assume a normal distribution. Further analysis of test data from one yarn found significant differences between the Uster histogram and results from the D-yarn program, which fitted the data to a two Gaussian distribution revealing the bimodal nature of the yarn diameter.
Spider silk
Spider silk is a natural fiber secreted by spiders to produce webs, egg sacs, and other structures. It is secreted from glands in the spider's abdomen. Spider silk is renowned for being stronger than steel by weight and is surprisingly elastic. Recent research has focused on developing synthetic spider silk and applying spider silk to fields like biomedicine, with potential uses as artificial tendons, nerve guides, and tissue scaffolds. Scientists have also mixed metals into spider silk to further increase its strength and explored using spider silk for violin strings and artificial muscles.
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More from Stuart Palmer
Wil palmer young_ss
This document discusses broadening work-integrated learning (WIL) placements for engineering and science students to better reflect where graduates work. Census data from Australia shows that while over half of engineering/science degree holders work in professional roles, many also work in other fields like management, IT, and education. The authors propose expanding WIL to include placements outside traditional disciplines to improve career outcomes. They describe electives at Deakin University that allow 112-160 hour pre-professional placements in varied workplaces, finding strong student interest. Broadening WIL placements better prepares generation Z students for diverse careers like those of previous generation graduates.
Text analytics showcase_ss
The document discusses using KH Coder to analyze text data. It provides examples of using KH Coder to create multidimensional scaling plots of over 11,000 tweets about workplace safety. It then outlines the key steps in KH Coder's text analysis process, including collecting text, pre-processing like word extraction, choosing a distance measure, performing dimensional reduction, and provides more examples analyzing tweets from a workplace safety Twitter account.
Sp208081ss
Domestic engineering student enrolments in Australia have been declining since 2008 while international enrolments have increased, leading to a higher proportion of international students. A 2020 study modeled the financial resilience of individual Australian universities facing lost revenue from reductions in international students due to COVID-19, finding impacts varied significantly between institutions. Separate data showed engineering graduates from one Australian university found employment or further study at higher rates than national averages, with most working in professional roles rather than technical or trade roles.
Sp190424ss
Using text analytics in benchmarking an engineering management major in a master of engineering course
Sp190423ss
Using qualitative student evaluation data to illuminate quantitative scale item ratings: seeing beyond the numbers
Sp190610ss
This document analyzes data from the Australian census to summarize occupational outcomes for engineering graduates. It finds that while 25% of engineering bachelor's graduates work as professional engineers, most do not and many are not working at all. Over time, even fewer graduates work as professional engineers as competition increases from people with other qualifications. The document also examines engineering graduate incomes, locations, and qualifications over time to understand trends in employment. It raises questions for engineering curriculum about preparing students for a wider range of career paths beyond traditional engineering roles.
Sp190305ss
This document discusses writing intended learning outcomes for university courses. It explains that learning outcomes should state what students are expected to know or be able to do after completing a subject. Learning outcomes help provide transparency for students and need to be observable and measurable. The document outlines key components of learning outcomes, including using action verbs and specifying the expected knowledge or skills. It also describes how learning outcomes fit within a hierarchy from university-level graduate attributes down to class-level outcomes.
Sp181012ss
This document describes a study that used Australian census data from 2006, 2011, and 2016 to analyze the occupational outcomes of graduates with bachelor's degrees in engineering. It found that while 25% of engineering graduates worked as professional engineers, 23.5% were not working. The majority of the professional engineering workforce had bachelor's degrees in engineering or related technologies. However, over time, fewer graduates were working as professional engineers and more were working in other roles or not at all. The study provides insight into the transferable skills of engineering graduates and the diversity of careers they enter.
Aaee no notes
This document summarizes data from the 2016 Australian census about employment outcomes for engineering bachelor graduates. It finds that 25% of engineering graduates work as professional engineers, with declining employment rates in and out of the engineering field since 2011. Even for professional engineering roles, there is significant competition from non-engineers. The document raises questions about how universities portray career outcomes to students and whether engineering curricula adequately prepare students for available roles.
Sp180503
1. The document discusses evaluation in engineering education, with a focus on potential data sources, ethics, representativeness, modelling, confounding factors, and publishing work.
2. It provides examples of using student marks, surveys, artefacts, learning management system data, census data, and social media data for evaluation purposes.
3. Models discussed include correlations, linear and logistic regression to explore relationships between factors and predict outcomes like student pass rates.
4. The goal is to evaluate initiatives and practices to identify areas for improvement, with the results potentially published in engineering education journals.
Sp180117sl
This study analyzed tweets containing three hashtags (#PCEHR, #MyHealthRecord, and #MyHR) related to personal electronic health records in Australia from August 2016 to August 2017. Time sequence and network analysis identified six influential users who discussed supporting or opposing views on the topic. The research aims to understand representation of Australia's national electronic health record system on Twitter and identify ways social media could better facilitate public engagement on this issue.
Sp180116ss
1. The document analyzes the Twitter engagement of a multinational engineering services company over three 6-month periods from 2016 to 2017.
2. Text analysis of the company's tweets and tweets mentioning them showed limited conversation, with the company mostly using Twitter as a megaphone rather than engaging in dialogue.
3. While the number of tweets from the company decreased over time, the number of tweets mentioning the company doubled, showing it was being discussed more even if not directly engaging. Overall there were about 10 times as many mentions as tweets from the company.
Sp180302ss
This document profiles Dr. Stuart Palmer and his career in engineering practice, education, and research. It discusses his qualifications and experience leading various projects related to engineering education, assessment practices, online learning environments, and using social media data in product design. It also outlines his future research interests in areas like engineering education, STEM education, graduate employability, and using frequency domain methods. Potential funding sources for this future work are also mentioned.
Sp170816
1. The document examines engineering students' use of Facebook as a social media "third space" separate from the university's formal learning management system.
2. It analyzes several public Facebook groups and pages related to engineering at Deakin University to map their content and activity over time.
3. Text analytics of posts in these groups show they contain a mix of social expressions as well as academic content and discussions of practical school matters, representing Facebook as a third space beyond the classroom.
Sp170405
This document summarizes census data on STEM graduate occupational outcomes in Australia. It finds that approximately half of STEM graduates work in a STEM occupation 10 years after graduation, consistent with studies in the US and UK. The document analyzes census data on the occupations of engineering and science graduates in Australia and finds that while about half of engineering graduates work as professional engineers initially, this declines with age and experience. Approximately one-third work as professional engineers long-term. For both engineering and science graduates, there is significant geographic clustering of graduates and jobs in state capital cities. The document raises questions about how undergraduate STEM curricula should prepare students for this variety of career outcomes and locations.
Sp170324
- Approximately half of engineering graduates will work in a professional engineering role initially, but that proportion declines over time such that long-term, about one-third will work as professional engineers.
- There are more people with engineering qualifications than there are professional engineering jobs, and engineers face competition from people without engineering degrees.
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Sp170326
The influence of geography on engineering employability and implications for undergraduate curriculum design
Sp170106
Using national census data to understand the science workforce and implications for curriculum design
Sp170111
Characterization of social media interactions for a national information and communication technology professional association
Sp160414
In the undergraduate engineering program at Griffith University in Australia, the unit 1006ENG Design and Professional Skills aims to provide an introduction to engineering design and professional practice through a project-based learning (PBL) approach to problem solving. It provides students with an experience of PBL in the first-year of their programme. The unit comprises an underpinning lecture series, design work including group project activities, an individual computer-aided drawing exercise/s and an oral presentation. Griffith University employs a ‘Student Experience of Course’ (SEC) online survey as part of its student evaluation of teaching, quality improvement and staff performance management processes. As well as numerical response scale items, it includes the following two questions inviting open-ended text responses from students: i) What did you find particularly good about this course? and ii) How could this course be improved? The collection of textual data in in student surveys is commonplace, due to the rich descriptions of respondent experiences they can provide at relatively low cost. However, historically these data have been underutilised because they are time consuming to analyse manually, and there has been a lack of automated tools to exploit such data efficiently. Text analytics approaches offer analysis methods that result in visual representations of comment data that highlight key individual themes in these data and the relationships between those themes. We present a text analytics-based evaluation of the SEC open-ended comments received in the first two years of offer of the PBL unit 1006ENG. We discuss the results obtained in detail. The method developed and documented here is a practical and useful approach to analysing/visualising open-ended comment data that could be applied by others with similar comment data sets.
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Sp100402
- 1. Identification of Animal Fibers with Wavelet Texture Analysis Dr Junmin Zhang Dr Stuart Palmer Professor Xungai Wang Centre for Material and Fibre Innovation Deakin University Australia
- 2. Introduction - Cashmere Source: http://en.wikipedia.org/wiki/ File:Old_O102_cropped_small.jpg As cashmere processing capacity outstrips available supplies of cashmere, some processors use superfine merino wool to blend with cashmere Cashmere wool blends provide the high quality worsted suiting fabric and produces a lower cost product while exploiting the positive market perceptions associated with the luxury cashmere content
- 3. Introduction - blends Source: http://commons.wikimedia.org/wiki/ File:Australian_Cashmere_Goats.jpg Current standard test methods for analysing blends of specialty fibres with sheep’s wool are based on scanning electron microscopy The current operator-based methods are tedious and subjective It is desirable to develop an objective, automatic method to identify and subsequently classify animal fibres
- 4. Introduction – fibre classification
- 5. Introduction – fibre classification
- 6. Sample image preparation Cashmere Merino wool
- 7. Sample image preparation Cashmere Merino wool
- 8. The 2D dual-tree complex wavelet transform
- 9. Fibre surface feature extraction Detail images represent the content of successive frequency bands The final approximation image contains the low frequency variations in background illumination
- 10. In this work, the analysis object is the fibre surface, and the texture feature is defined as: Where M×N is the size of the fibre surface image, and are the pixel grey-scale values of fibre surface image in scale s and direction k. Fibre surface feature extraction
- 11. Fibre surface feature extraction From the Cashmere Fiber Distinction Atlas, 13 cashmere fibre images and 15 merino fibre images were prepared From each of the 28 fibre images a texture feature vector consisting of 24 (6 orientations x 4 scales) energy features was developed Principal component analysis was used to reduce the dimension of the texture feature vector
- 14. Allied work – automatic pilling classification
- 15. Future work non-linear neural network classification; testing of the performance of the wavelet texture analysis method of fibre identification on a larger set of real cashmere and other fibre samples; and the application of the wavelet texture analysis method to the of task analysing/assaying blends of specialty fibres
- 16. Thank you for your time