| 研究生: |
謝宗旻 Hsieh, Tsung-Min |
|---|---|
| 論文名稱: |
太陽能集熱板選擇性吸收膜之陣列噴塗最佳化製程研究 A study on optimal process of spraying array for the selective absorbing film of solar collector |
| 指導教授: |
張克勤
Chang, Keh-Chin |
| 學位類別: |
碩士 Master |
| 系所名稱: |
工學院 - 航空太空工程學系 Department of Aeronautics & Astronautics |
| 論文出版年: | 2014 |
| 畢業學年度: | 102 |
| 語文別: | 中文 |
| 論文頁數: | 67 |
| 中文關鍵詞: | 選擇性吸收膜 、田口方法 、太陽熱能 |
| 外文關鍵詞: | Taguchi method, Solar thermal, spectrally selective absorber, optimal process |
| 相關次數: | 點閱:121 下載:6 |
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論文題目:太陽能集熱板選擇性吸收膜之陣列噴塗最佳化製程研究
研究生:謝宗旻
指導教授:張克勤
台灣擁有應用太陽能的優良地理環境及氣候,近年來能源政策的改變使得太陽熱能的重要性漸漸增加,以太陽能熱水器之應用為大宗。過去研究及文獻顯示太陽能集熱板的集熱效率關鍵在於表面選擇性吸收膜的厚度分佈,吸收膜表面的吸收率及放射率皆隨著膜厚的增加而上升,碳黑材料選擇性吸收膜經由日曬實驗所找出的最佳膜厚約在3±1 μm的厚度範圍內。本研究利用田口式直交表實驗對碳黑材料選擇性吸收膜的雙流體噴嘴陣列噴塗製程進行分佈均勻度(S/N比)的最佳化,選擇噴嘴間距、噴嘴高度、輸送帶速度及雙流體噴嘴的氣/液壓四個控制因子,以L_9 (3^4)實驗直交表進行實驗,以表面吸收率及放射率做為品質特性,經由變異分析,發現影響吸收率S/N比的重要控制因子為噴嘴高度及輸送帶速度;影響放射率S/N比的重要控制因子為噴嘴間距、噴嘴高度及輸送帶速度。經由最佳化後的吸收率S/N比為33.15(dB)、放射率S/N比為25.23(dB),而原始製程的吸收率S/N比為24.29(dB)、放射率S/N比為19.32(dB),經過最佳化後的製程在吸收率及放射率的分佈均勻性皆有顯著的提升。
經由日照實驗驗證選擇性吸收膜試片之吸收率、放射率分佈均勻性,與日照實驗中的溫度分佈變異程度有一定的相關性,日曬實驗中溫度分佈的95%水準信賴區間與吸收率S/N比的相關係數為-0.9513,為高度相關;與放射率S/N比的相關係數為-0.6794為中度相關。
關鍵字:選擇性吸收膜、田口方法、太陽熱能
Study of the optimal process of spraying array for the selective absorbing film of solar collector
Author:Hsieh Tsung-Min
Advisor:Chang Keh-Chin
Department of Aeronautics and Astronautics, National Cheng Kung University
SUMMARY
This study reports the optimization of a multiple-nozzle spray coating process to improve the uniformity of absorptivity (α) and emissivity (ε) distributions on thickness sensitive spectrally selective solar film using the Taguchi method. The control factors include (A) separation distance between nozzles, (B) height from the nozzles to the spraying surface, (C) conveyor speed, and (D) input pressures of the dual fluid spray nozzle (gas and liquid paint). The optimal combination of control factors is 13.5 cm separation for factor (A), 8 cm height for (B), 2.983 cm/s conveyor speed for (C), and gas/liquid pressure of 3.0/1.5 kgf/cm^2 for (D). This combination increased the S/N ratio of α from 24.29 (original factor combination) to 33.15 and the S/N ratio of ε from 19.32 to 25.23.
A field experiment by means of a solar test stand determines the correlations between the variance of temperature distribution on collectors and S/N ratios of α and ε as −0.9513 (highly correlated) and −0.6794 (moderately correlated), respectively.
Key words: Taguchi method, solar thermal, spectrally selective absorber, optimal process
INTRODUCTION
Located in subtropical regions, Taiwan has sufficient sunlight for solar energy applications throughout the year. The solar energy spectrum is mostly distributed in the wavelength range 250–3000 nm, and the emitted radiation of solar thermal systems in working temperatures (under 400 °C) is in the band of IR and FIR (wavelengths over 3000 nm). The concept of spectral selectivity is to improve the thermal conversion efficiency using a selective absorbing surface with high absorptivity in the band of solar radiation and low emissivity in the long-wave range[3].
One of the most used absorbing surfaces is made of thickness sensitive spectrally selective (TSSS) paint. The absorptivity and emissivity of the TSSS surface are very sensitive to the thickness of the film; both increase with increasing thickness[4]. Gunde predicted the optimum thickness for maximum spectral selectivity by theoretical computation: the highest spectral selectivity of carbon black TSSS paint occurs when thickness is approximately 3–4 μm[5]. In the results of a solar experiment by Yung-Chieh, a TSSS film with thickness of approximately 3±1 μm reached the highest temperature among films under same sun radiation conditions[6].
This study’s purpose is to enhance the uniformity of absorptivity (α) and emissivity (ε) distributions on TSSS film. The Taguchi method is an optimization approach commonly used in engineering to analyze the effects of different control factors on the level of a designated characteristic. Using this method, this study will classify the significance of control factors by analysis of variance (ANOVA) and find a combination of control factor levels that yields the best uniformity of quality characteristics (α,ε).
THE TAGUCHI METHOD
Problem Description
The spraying process in the domestic solar heat collector industry has a problem with quality control due to the instability of the handheld spraying process. The objective of optimization is to increase the uniformity of the carbon black solar selective absorber film made by an automatic multiple-nozzle spraying process.
Quality Characteristics
Quality characteristics are observed parameters that determine the quality of a process or product. In this study, absorptivity and emissivity are defined as the quality characteristics, both as a function of film thickness.
Control factors
There are many factors influencing the performance of the nozzle array spraying process. Four important factors were chosen as control factors: (A) separation distance between nozzles, (B) height from the nozzles to the spraying surface, (C) conveyor speed, and (D) input pressure of the dual fluid spray nozzle (gas/liquid paint). Each of these factors is set to three levels (Table 1).
Experiment
A full factorial experiment for the four control factors at three levels has total 3^4 factor combinations to determine the factor effects and interactions between factors. Omitting some information concerning the interactions between factors, the Taguchi method uses orthogonal arrays to test select combinations of factors. These comprise the minimum number of combinations sufficient to determine the factor effects. Accordingly, the L_9 (3^4 ) orthogonal table is selected (Table 2), which tests only nine combinations and determines all the effects of each individual factor.
Significance Test
By studying the experimental statistical data, we can calculate the factor effects on the quality characteristics and their S/N ratios and plot a response graph (Figure 1). The experimental errors can be calculated by variance decomposition. The significance of each factor can be confirmed by ANOVA (Table 3), and then control factors can be classified according to the results of the significance test.
SOLAR FIELD EXPERIMENTS
The purpose of solar field experiments is to clarify the relationship between the variation of the temperature distribution on solar film in an equilibrium state and the uniformity of the absorptivity and emissivity. We will calculate the coefficients of correlation between the RMS of temperature and S/N ratios of α and ε after a series of solar experiments.
Calibration of Thermocouples
All thermocouples were dipped into a thermostatic water bath with constant temperatures of 50, 60, 70, 80, and 90 °C, and a minimum of 500 samples were recorded for accurate calculation of the mean value and regulate the measurement value x to the reference value y (temperature of the water bath) by the least squares method. The correction function (1) and its coefficients are solved by (2) and (3).
(1)
(2)
(3)
After calibration, the bias error between thermocouples can be reduced.
RESULTS AND DISCUSSION
Process Optimization
After ANOVA and the significance test, factors A, B, and C are classified as significant factors to raise uniformity. Thus, the factor combination for optimal process can be chosen from the response graph (Figure 1):
A2 B1 C1 D1.
The original factor combination is
A3 B2 C2 D1.
The experimental results show that the S/N ratios of absorptivity and emissivity are raised from 24.29 dB (original) to 33.15 dB (optimal) and from 19.32 dB to 25.23 dB, respectively.
Correlation between Temperature RMS and S/N Ratios of α and ε
The results of solar experiments are plotted in Figure 2. As the uniformity of solar absorbing film increases, the variance of temperature distribution decreases. The coefficient of correlation between temperature RMS and S/N ratios of α and ε are -0.9513 and -0.6794, highly correlated with S/N ratio of α; moderately correlated with S/N ratio of ε.
CONCLUSIONS
The proportion of solvent in atomized droplets of TSSS paint determines uniformity in the mechanism of attachment when droplets collide with the substrate surface. A higher concentration of solvent can help droplets stretch wider and flatter from the effects of gravity. The input pressures of gas and liquid determine how well the droplets atomize, and the distance that droplets fly to the substrate is equal to the nozzle height. The longer a droplet flies, the more the solvent is volatilized in the flight to the substrate, which is why a lower nozzle height can lead to a higher uniformity.
The experiment to evaluate the heat collecting ability of a solar absorber is designed to allow absorption of solar radiation until the absorber reaches equilibrium, and the efficiency is defined by the final temperature. A better definition of efficiency for solar heat collection is to compare the heat transfer from the absorber to the working system with the solar radiation intensity at a specific working temperature. A preliminary design of the experiment is shown in Figure 3.
Table 1. Control factors and levels
Table 2. Orthogonal Table L_9 (3^4 )
Table 3. ANOVA Table (S/N ratio of emissivity)
Figure 1. Response graph for S/N ratio of emissivity
Figure 2. Results of solar experiments and corresponding S/N ratios
Figure 3. Preliminary design of the solar experiment
【1】“2013 Key World Energy Statistics”, International Energy Agency, France, pp.48-57 .(2013)
【2】陳冠名, “使用炭─氧化矽奈米材料對提升太陽能集熱板吸收膜效率測試研究” 行政院國家科學委員會補助大專學生參與專題研究計畫研究成果報告.(2009)
【3】Jhon A. Duffle, William A. Beckman, “Solar Engineering of thermal Process”, 2^nd Edition, John Wiley & Sons, pp.199-201. (1980)
【4】B. Orel, Z. Crnjak Orel, “Thickness sensitive spectrally selective (TSSS) paint for solar collectors: optical properties, surface characterization and application properties”, Solar Energy Materials 18, pp.97-107.(1988)
【5】M.K Gunde, J.K. Logar, Z. Crnjak Orel, B. Orel, “Optimum thickness determination to maximize the spectral selectivity of black pigmented coatings for solar collectors”, Thin Solid Films 277, pp.185-191.(1996)
【6】陳詠傑, “太陽能集熱板選擇性吸收膜之最佳化噴塗製程研究”(2012)
【7】李輝煌, “田口方法:品質設計的原理與實務” 高立圖書有限公司.(2011)
【8】Taguchi G., Konishi G., “Orthogonal Arrays and Linear Graphs: Tools for Quality Engineering”, American Supplier Institute, Inc.(1987)