Enson.Studio.: 2018/05

20180530

辦活動相關網站

Keywords: Event, QR code, URL Shortener, Icon, Design, ... .
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Icon = https://www.flaticon.com/

QR code = http://www.quickmark.com.tw

URL shortener = https://tinyurl.com

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20180528

關於鋁門窗與帷幕產業

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# Update : 2021-02-21
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Keywords: AL door and window, Curtain wall, ... .
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鋁門窗與帷幕牆 (curtain wall) [WIKI] 的功能為水密、氣密、隔音等功能，相關產品線與營建建案等級相關，如豪宅建案首重行銷與品質保證，主要以國內知名品牌或日本品牌為主 [REBAR,20101024] ；一般建案則大多採用本土品牌，但本土品牌產品差異小，容易陷入削價競爭的惡性循環，因此有許多業者開始轉型，創造差異化，如開發節能、多功能的高值產品。

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# 國内代表廠商與產品 [UDN,20170530]：

[] 清展科技：隱藏式紗窗、通風門、塑膠五金。

[] 高興鳳：建材通路商，專攻修繕市場。

[] 大岳國際：知名品牌窗代理商。

[] 瑋呈工程：玻璃帷幕，專攻鋁骨架及設計，配合玻璃廠現場施工。

[] 翔一精密科技：全自動多功能百葉窗、車庫通風設備，專利產品。

[] 立得科技：建材專用CNC複合式加工機。

[] 高全存企業：鋁門窗及帷幕牆配件專業廠。

[] 力霸建材集團：氣密窗、斷熱窗、大尺寸氣密窗 [UDN,20180129]。

[] 兆立科技實業：2003 年首家取得TAF認證之風雨實驗室 [UDN,20170620]。

[] 景發鋁業：綠色節能設計，強化客製化接單能力，以應付各式窗台變化 [CT,20131211]。
[] 勝群金屬股份有限公司：低槽全平面式『無障礙節能落地窗』[CHINATIMES, 20170928]。

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# 進口國外先進產品：

[] JP.日本

[] SHOWA：日本品牌、台灣價格、超級水氣密隔音窗 [UDN,20180103]。

[] Window Mask：阻隔 PM2.5 懸浮微粒之奈米級紗網 [CT,20180403]。用於台中市北屯區『漢宇築境』 [UDN,20171221]、潭子區『熊立方』[AD,20180323] 等建案。

[] 三協 CAVCON 定風量排氣換氣過濾裝置：根據 JIS B 9908 試驗標準，加裝花粉濾淨器後，能過濾大氣中68%的塵埃 [CT,20171027] 。

[] GE.德國：

[] 溫度調節隔熱斷冷之鋁包木門窗 [CT,20150527]。

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# 產業概況

鋁門窗產值與產量統計。

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# 相關技術：

[] 透過連桿機構設計，提升窗框密合效果，隔音、氣密、水密等效果。

[] 產品外觀設計：平面 2D 變 3D 複雜曲面造型，需要鈑料展開設計以進行雷射切割或沖壓成形。

[] 產品功能設計：隔熱與降低熱傳導。

[] 鋁門窗產品性能測試：以 CAE 方式進行風壓測試分析，自產品設計階段就能預估風壓測試結果，確認設計可行再開發模具、製造與測試，可降低投入成本並提升產品開發效率與成功率。

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# ORG. 組織

[] 社團法人高雄市鋁門窗經營協會, http://www.kh-aluminum.com.tw/
[] 帷幕牆技術發展協會, http://www.cwa.org.tw/

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# REFERENCE

帷幕牆 (Curtain Wall), WIKI, https://en.wikipedia.org/wiki/Curtain_wall_(architecture)
[] 鋁門窗產業發展沿革, REBAR,20101024 , http://www.rebar.com.tw/general/index.php?action=message&mt_id=3&m_id=14
[] 景記鋁門窗創新、高品質取勝, CHINATIMES, 20131211, http://www.chinatimes.com/newspapers/20131212000417-260210
[] 梅花鋁業代理德國UNILUX門窗, CHINATIMES, 20150527, http://www.chinatimes.com/newspapers/20150527000309-260210
[] 兆立TAF風雨實驗室建材品質掛保證, UDN, 20170620, https://money.udn.com/money/story/7369/2449132
[] 勝群無障礙節能落地窗進出更安全, CHINATIMES, 20170928, https://www.chinatimes.com/newspapers/20170928000348-260210?chdtv
[] 利統引進CAVCON定風量排氣換氣過濾裝置, CHINATIMES, 20171027, http://www.chinatimes.com/newspapers/20171027000223-260210
[] 引進SHOWA鋁門窗永欣業績飛舞, UDN, 20180103, https://money.udn.com/money/story/5721/2875692
[] 天下第一窗力霸鋁門窗精彩蛻變, UDN, 20180129, https://money.udn.com/money/story/5635/2955663

# REF. PM2.5

[] 防空汙！「漢宇築境」豪墅案採用勝群防霾紗窗, UDN, 20171221, https://udn.com/news/story/7241/2888381?from=udn-ch1_breaknews-1-cate6-news
[] 採用PM2.5防霾紗窗台中再增一建案, APPLEDAILY, 20180323, https://tw.appledaily.com/new/realtime/20180323/1320849/
[] 勝群抗PM2.5日本奈米級紗網獲廣大迴響, CHINATIMES, 20180403, http://www.chinatimes.com/newspapers/20180403000452-260210

# REF. ORG.

[] 高雄市鋁門窗經營協會聯展商機匯聚, UDN, 20170830, https://money.udn.com/money/story/5721/2664993
[] 高雄市鋁門窗經營協會改選簡天保高票連任, UDN, 20180403, https://money.udn.com/money/story/5635/3066849

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20180524

神藏

Keywords; Novel, Book, Map... .
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上清觀小道士（方逸）下山入紅塵修煉 ... .
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MAP

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瑪雅文明 (Maya Civilization)

Keywords: Maya, Culture, History, ...
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瑪雅文明 [WIKI] 不同於世界之大河文明，為發育於美洲之叢林文明。

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瑪雅文明分佈圖

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卡斯蒂略金字塔 (El Castillo) [WIKI]

卡拉克穆爾遺址 (Calakmul) [https://en.wikipedia.org/wiki/Calakmul]

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REFERENCE

[] 瑪雅文明, WIKI, https://en.wikipedia.org/wiki/Maya_civilization
[] 卡斯蒂略金字塔, WIKI, https://en.wikipedia.org/wiki/El_Castillo,_Chichen_Itza

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20180522

類神經網路應用 (applications of artificial neural network, ANN)

Keywords : ANN, Artificial neural network, Machine learning, Application, Forging, Wear, Roll forming, Material, Metal forming, Flow stress curve,Forming limit curve ... .

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類神經網路 [WIKI]，屬機器學習之演算法 [WIKI]，透過資料建構數學模型，進行自適性訓練與預測。ANN 由輸入層、隱藏層與輸出層所構成，輸入層為設計變數，輸出層為預測值，隱藏層為建構輸入與輸出層之關聯性，並透過訓練範例訓練及調整網路模型。

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雲端服務 (cloud service)：

[] Azure Machine Learning Studio, MICROSOFT, https://azure.microsoft.com/zh-tw/services/machine-learning-studio/
[] Neural Network Console, Sony, https://dl.sony.com

免費 / 開源軟體 (free / open source)：

FaNN [Web]
Stuttgart Neural Network Simulator (SNNS) [Web]

商用軟體：

MATLAB [Web]
Neuro Solutions [Web]
STATISTICA [Web]

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應用 (application)：

[] 折彎 (bending)：U型折彎彈回預測 [AMPT,2007]。
[] 成本預估 (cost estimation)：以倒傳遞神經模型進行沖壓模具成本預估 [NCA,2014]
[] 深引伸 (deep drawing)：初始鈑料輪廓控制點設計 [JIAMT,2010]。
[] 熱鍛 (hot forging) ：以鍛造溫度與溢料厚度作為輸入參數，預估熱鍛模具之磨耗深度 [AJSE,2012] 。
[] 連續輥軋 (roll forming)：成形負荷 [AMT,2012]、成形破壞 [IJMF,2013] .
[] 材料 (material)：預估鎂合金 AZ-31 之塑流曲線 (flow stress curve) 與成形極限曲線 (forming limit curve, FLC) [CMS,2011] 。
[] 徑向鍛造 (radial forging)：以初始料溫、模具入口角度、進給率、斷面縮減率作為輸入參數，透過 MATLAB 預估徑向鍛造(radial forging)成形負荷 [NCA,2014]。
[] 專家系統 (expert system)：造紙機專家系統 [KAM,2009]。

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REFERENCE

[] Photo, PIXABAY, https://goo.gl/JyDhJt
[] 人工神經網路, WIKI, https://goo.gl/nBdoMu
[] 機器學習, WIKI, https://goo.gl/tAjKFb
[] Fast Artificial Neural Network Library (FANN), http://leenissen.dk/fann/wp/
[] Stuttgart Neural Network Simulator (SNNS), http://www.ra.cs.uni-tuebingen.de/SNNS/
[] Stuttgart Neural Network Simulator (SNNS), WIKI, https://en.wikipedia.org/wiki/SNNS
[] Neuro Solutions, http://www.neurosolutions.com/
[] Neural Network Toolbox, MathWorks, https://www.mathworks.com/products/neural-network.html
[] STATISCA, WEB, http://statistica.io

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REF. PAPERs

[] A. Chamekh, S. BenRhaiem, H. Khaterchi, H. BelHadjSalah,R. Hambli (2010) An optimization strategy based on a metamodel applied for the prediction of the initial blank shape in a deep drawing process, International Journal of Advanced Manufacturing Technology, Vol.50, pp.93-100. https://link.springer.com/article/10.1007/s00170-009-2512-y
[] A. Azari, M. Poursina,D. Poursina (2014) Radial forging force prediction through MR, ANN, and ANFIS models, Neural Computing & Applications, Vol.25, pp.849-858. https://link.springer.com/article/10.1007/s00521-014-1562-8
[] B. Ozcan,A. Figlali (2014) Artificial neural networks for the cost estimation of stamping dies, Neural Computing & Applications, Vol.25, pp.717-726. https://link.springer.com/article/10.1007%2Fs00521-014-1546-8
[] H. S. Park,T. V. Anh (2013) Development of two-phase neural network-genetic algorithm hybrid model in modeling damage evolution in roll forming of aluminum sheet, International Journal of Material Forming, Vol.6, pp.423-436. https://link.springer.com/article/10.1007%2Fs12289-012-1096-5
[] M. R. S. Yazdi, G. S. Bagheri,M. Tahmasebi (2012) Finite Volume Analysis and Neural Network Modeling of Wear During Hot Forging of a Steel Splined Hub, Arabian Journal for Science and Engineering, Vol.37, pp.821-829. https://link.springer.com/article/10.1007%2Fs13369-012-0210-9
J. G. Wu, Q. Li,Y. Yan (2012) Emulation and prediction of the cold roll forming force, Advanced Manufacturing Technology, Pts 1-4, Vol.472-475, pp.206-213. https://www.scientific.net/AMR.472-475.206
[] A. Forcellese, F. Gabrielli,M. Simoncini (2011) Prediction of flow curves and forming limit curves of Mg alloy thin sheets using ANN-based models, Computational Materials Science, Vol.50, pp.3184-3197. http://www.sciencedirect.com/science/article/pii/S0927025611003211
[] X. M. Yu, Y. Zeng,K. S. Zhang (2009) The Analysis and Explore on Paper Making Expert System, 2009 Second International Symposium on Knowledge Acquisition and Modeling: Kam 2009, Vol 3, pp.319-322. http://ieeexplore.ieee.org/document/5362307/
[] W. J. Liu, Q. Liu, F. Ruan, Z. Y. Liang,H. Y. Qiu (2007) Springback prediction for sheet metal forming based on GA-ANN technology, Journal of Materials Processing Technology, Vol.187, pp.227-231. http://www.sciencedirect.com/science/article/pii/S0924013606010909

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