نتایج جستجو برای: woolen and worsted yarn

تعداد نتایج: 16828137  

2004
Yi Wang

We present a balanced method for realistic rendering of towels and carpets from a normal viewing distance. Since the yarn loops on the surface of a towel contribute more to the appearance of a towel than the underneath skeleton yarns do, we model yarn loops with more accurate geometry and lighting models. To show the randomness in the shape of a yarn loop, we control the shape of yarn loops by ...

2009
Salih GÜLŞEN Mehmet BAYKARA Ertan ÖZNERGİZ Ali DEMİR

This paper defines a PID type yarn tension control run by a PLC system that is used to control the yarn tension below the twisting head of the novel air jet texturing and twisting (AJT) machine. In the standard sequence of the AJT, if the yarn is transported to the twisting and winding head with a low tension value, the yarn is bound to wrap around the shoulder below the twisting head and break...

2013
Eva Moučková Petra Jirásková

Yarn quality is judged according to the achieved values of tested yarn properties that are selected in dependence on yarn utilization. Quality level of the yarns can be assessed using the USTER® STATISTICS [2]. This tool is composed of graphs enabling users to compare their measured results of yarn (sliver, roving, fiber) with the corresponding worldwide established fibrous product quality refe...

2016
R. Yin X. M. Tao B. G. Xu

Twisting is an important process to form a continuous yarn from short fibres and to determine the structure and properties of the resultant yarn. This paper proposes a new theoretical model of yarn dynamics in a generalized twisting system, which deals with two important phenomena simultaneously, that is, twist generation and twist propagation. Equations of yarn motion are established and the b...

2003
Ning Pan

This study of woven fabric strength begins by focusing on the effects of the crossing points, where warp and weft yarns interlace with each other to form a fabric, towards the ultimate fabric tensile strength. When a fabric is under uniaxial or biaxial tension, the yarn-yarn interactions at the crossing points are found to consist of two components, a pressure-independent adhesive component and...

2008
S N Subramanian A Venkatachalam

Relative performance of the back propagation neural network (BPN) algorithm combined with genetic algorithm (GA) approach for the prediction/optimization of the properties of yarn produced on jet ring spinning system has been studied. Yarn samples of various linear densities have been produced on ring spinning machines using air-jet nozzles as retrofit by varying the nozzle parameter and the ya...

2009
E. Zhou D. Mollenhauer E. Iarve

Textile composites are widely used in automotive, naval, and aerospace industries. The variation of the topology of the textile structure will affect the performance of the composite. The yarn micro-geometry is determined by 1) the textile process, such as weaving, braiding, etc. and 2) the composite forming process, such as vacuum bagging, resin transfer molding, etc. In this paper, we present...

2015
Chi-wai Kan Chui-ha Au Silvana Allodi

Cotton knitted fabrics were manufactured with different yarn types (conventional ring spun yarn and torque-free ring spun yarn) with different fibre types (combed cotton and combed Supima cotton) and yarn fineness (Ne30 and Ne40). These fabrics were then dyed with three types of dye (reactive, direct and sulphur dye) with three dye concentrations (0.1%, 1.0% and 5.0% on-weight of fabric (owf)) ...

2005
Vivek Prasad Shankam Narayana

SHANKAM NARAYANA, VIVEK PRASAD. Novel Method for Dynamic Yarn Tension Measurement and Control in Direct Cabling Process. (Under the directions of Dr. William Oxenham, Dr. Abdelfattah Seyam and Dr. Edward Grant). Yarn tension control is an important parameter for quality and efficiency in textile processes. It has a significant influence on productivity in various processes such as winding, twis...

2015
Yongliang Liu B. Todd Campbell Chris Delhom Vikki Martin

High volume instrumentation (HVITM) measurement is a primary and routine tool of providing fiber properties to cotton researchers. There have been considerable studies designed to derive yarn quality from acquired fiber quality data by various means, including HVI. There is also of desired information about the comparison of yarn quality within a cotton cultivar or among the cultivars, as such ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید

function paginate(evt) { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term pg=parseInt(evt.target.text) var data={ "year":filter_year, "term":term, "pgn":pg } filtered_res=post_and_fetch(data,url) window.scrollTo(0,0); } function update_search_meta(search_meta) { meta_place=document.getElementById("search_meta_data") term=search_meta.term active_pgn=search_meta.pgn num_res=search_meta.num_res num_pages=search_meta.num_pages year=search_meta.year meta_place.dataset.term=term meta_place.dataset.page=active_pgn meta_place.dataset.num_res=num_res meta_place.dataset.num_pages=num_pages meta_place.dataset.year=year document.getElementById("num_result_place").innerHTML=num_res if (year !== "unfilter"){ document.getElementById("year_filter_label").style="display:inline;" document.getElementById("year_filter_place").innerHTML=year }else { document.getElementById("year_filter_label").style="display:none;" document.getElementById("year_filter_place").innerHTML="" } } function update_pagination() { search_meta_place=document.getElementById('search_meta_data') num_pages=search_meta_place.dataset.num_pages; active_pgn=parseInt(search_meta_place.dataset.page); document.getElementById("pgn-ul").innerHTML=""; pgn_html=""; for (i = 1; i <= num_pages; i++){ if (i===active_pgn){ actv="active" }else {actv=""} pgn_li="
  • " +i+ "
  • "; pgn_html+=pgn_li; } document.getElementById("pgn-ul").innerHTML=pgn_html var pgn_links = document.querySelectorAll('.mypgn'); pgn_links.forEach(function(pgn_link) { pgn_link.addEventListener('click', paginate) }) } function post_and_fetch(data,url) { showLoading() xhr = new XMLHttpRequest(); xhr.open('POST', url, true); xhr.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); xhr.onreadystatechange = function() { if (xhr.readyState === 4 && xhr.status === 200) { var resp = xhr.responseText; resp_json=JSON.parse(resp) resp_place = document.getElementById("search_result_div") resp_place.innerHTML = resp_json['results'] search_meta = resp_json['meta'] update_search_meta(search_meta) update_pagination() hideLoading() } }; xhr.send(JSON.stringify(data)); } function unfilter() { url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":"unfilter", "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } function deactivate_all_bars(){ var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(bar) { bar.dataset.active = false bar.style = "stroke:#71a3c5;" }) } year_chart.on("created", function() { var yrchart = document.querySelectorAll('.ct-bar'); yrchart.forEach(function(check) { check.addEventListener('click', checkIndex); }) }); function checkIndex(event) { var yrchart = document.querySelectorAll('.ct-bar'); var year_bar = event.target if (year_bar.dataset.active == "true") { unfilter_res = unfilter() year_bar.dataset.active = false year_bar.style = "stroke:#1d2b3699;" } else { deactivate_all_bars() year_bar.dataset.active = true year_bar.style = "stroke:#e56f6f;" filter_year = chart_data['labels'][Array.from(yrchart).indexOf(year_bar)] url=/search_year_filter/ var term=document.getElementById("search_meta_data").dataset.term var data={ "year":filter_year, "term":term, "pgn":1 } filtered_res=post_and_fetch(data,url) } } function showLoading() { document.getElementById("loading").style.display = "block"; setTimeout(hideLoading, 10000); // 10 seconds } function hideLoading() { document.getElementById("loading").style.display = "none"; } -->