theory sintering 中文意思是什麼

Based on the analysis of the characteristics of the raw mix slurry preparing process in alumina sintering production process, firstly, a mechanism model based on material balance principle was established as the master - rule model for the quality prediction ; secondly, considering the problem that the alkali liquor composition was unstable and its real - time measurement was difficult, a nn ( neural networks ) prediction model for the prediction of the alkali liquor composition was set up and nesting - integrated with the mechanism model ; finally, using the gray theory for the information mining from the errors of the mechanism model, a gm ( 1, 1 ) compensation model was put forward and parallel - connection - integrated with the mechanism model, achieving a raw mix slurry quality prediction model

摘要針對燒結法氧化鋁生產過程中生料漿配料工藝的特點，根據物料平衡的原理建立機理模型，作為生料漿質量預測的主規律模型；針對堿液成分波動大且難以實時檢測的問題，對堿液成分含量建立了神經網路預測模型，並和機理模型進行嵌套集成；利用灰色理論對機理模型的偏差數據進行信息挖掘，建立了gm （ 1 ， 1 ）補償模型，並與機理模型進行並聯集成，獲得生料漿質量預測模型。

Microstructure of the composite layer was analyzed with help of optical microscope, scanning electronic microscope ( sem ), electronic probe microanalysis ( epma ) and x - ray diffraction ( xrd ). the compacting of the billet and the forming mechanism of the carbide reinforcement were studied based on thermodynamics and kinetics of reaction, sintering theory and the result of dta. at the same time, the wear - resistance of the composite layer was studied under condition of dry sliding friction

利用光學顯微鏡、掃描電子顯微鏡、電子探針以及x -射線衍射儀，分析了表面復合層的基體組織結構；運用反應熱力學、動力學、粉末燒結理論和燃燒合成理論，結合差熱分析結果，探討了表面復合層壓坯的燒結緻密化原理和碳化物增強相的形成機理；利用坯塊在真空燒結爐不同溫度下的燒結出來的顯微組織分析，模擬出坯塊的燒結過程中的化學反應過程。

Analyzing the sintering theory of nano material and the heat conduction theory of laser machining, the mathematic model of grain size growth of nano material in laser sintering is built

在分析納米材料已有燒結理論的基礎上，結合激光加工中有關熱傳導理論，建立了納米材料在激光作用下晶粒尺寸變化的數學模型。

But there is a few findings in the study of low temperature sintering, which cries for more efforts putting into the mechanical study of low temperature, to find a method for technology promoting and enrich the known activation sintering theory

然而國內外在低溫燒結機理方面的成果乏善可陳，這就迫切需要加大對低溫燒結機理研究的力度，為工藝提升找到一條路，並且豐富已知的活化燒結理論。

The influence of nano - al2o3 on the sintering and the properties of the si3n4 ceramics was researched in this paper. the samples with different amount of nano - al2o3 were obtained by using pressureless sintering at 1600, 1650, 1700 in the nitrogen atmosphere. the microstructure and the composition of the ceramics were determined by the means of x - ray, sem, micro - hardness meter etc. it is show that the sisty ceramics can be densified at 1650c to % percent of the theory density through the addition of nano - al2o3 ( the value could be 90 percent by other technique ). the crystalline growth of the cylindrical - si3n4 and the ratio of its longitude to its diameter are increased with the addition of nano - al2o3. a uniform microstructure and an fined crystal as well as more sialon phases can be obtained in the si3n4 ceramics through the addition of that

實驗結果表明：在碳管爐中、氮氣保護下進行燒結，添加劑為納米al _ 2o _ 3粉末時，由於納米粉末的高活性、高燒結驅動力，在1650就可使si _ 3n _ 4完全地燒結，並使其緻密度可達理論密度的96以上（比其它工藝高6左右） ；同時，納米al _ 2o _ 3地加入大大促進了長柱狀? si _ 3n _ 4的生長和發育及柱狀晶長徑比的提高，使微觀結構均勻、細化，形成了更多力學性能優異的固體? sialon相，減少了不利於陶瓷材料性能的晶間玻璃相，凈化了晶界。

Using continuous compacting progress dy2o3 / zro2 materials can be sintered at low temperature. 98. 8 % of theory density was obtained for ultrafine dy2o3 / zro2 ceramic power sintering at 1200, which is 400 lower than the sintering temperature of the common ceramic power. it studied the influence of sintering temperature on the crystalline grain of power by sem

採用二次成型常壓燒結法對氧化鋯/氧化鏑的納米粉體進行燒結，在1200左右燒結得到燒結密度為理論密度的98 . 8的陶瓷體，其燒結溫度比常規陶瓷粉末的燒結溫度低四百度左右，通過掃描電鏡研究了燒結溫度對燒結體晶粒大小的影響。

Firstly the interactional principle of laser and material, the physical and chemical properties of the thermoplastic plastic is studied in theory, and the laser sintering mechanism of powder is also studied

首先從理論上分析了激光與材料相互作用原理和熱塑性塑料的物理、化學性質，並且研究了粉末激光燒結機理。

In this paper, firstly, monolithic materials cosb3 and bi2te3 were prepared by sparkle plasma sintering ( sps ) respectively, and at the same time the microstructure of cosb3 and bi2te3 were studied by sem ; the seebeck coefficients and electrical conductivities of monolithic materials were measured by standard - four - probe method ( ulvac zem - 700 ) in a he atmosphere simultaneously, and their thermal conductivities were investigated by laser flash method ( tc - 7000 ) in vacuum. secondly, the junction temperature of graded bi2te3 / cosb3 thermoelectric materials was optimized based on the thermoelectric transport properties of monolithic materials, also when graded materials were used in the temperature difference ranging from 300k to 800k, the length ratio of monolithic materials cosb3 and bi2te3 were optimized in theory. thirdly, graded bi2te3 / cosb3 thermoelectric materials were prepared by two - step sps sintering, and the relationship between its average seebeck coefficients and temperature were calculated by theory mo del

均質材料cosb _ 3和bi _ 2te _ 3的電導率和seebeck系數採用標準四端子法于he氣氛下在zem - 1上同時進行測量；熱導率採用激光微擾法（ tc - 7000 ）于真空狀態下進行測量；其次，在對均質材料cosb _ 3和bi _ 2te _ 3熱電傳輸特性研究的基礎上，對結構梯度bi _ 2te _ 3 cosb _ 3熱電材料的界面溫度進行了優化；為了使結構梯度bi _ 2te _ 3 cosb _ 3熱電材料在300k至800k的溫度范圍內具有最佳的熱電性能，本研究同時對梯度結構熱電材料當中均質材料cosb _ 3和bi _ 2te _ 3材料的長度進行了優化設計；第三，通過兩步放電等離子燒結的方法制備出了結構梯度bi _ 2te _ 3 cosb _ 3熱電材料；採用理論計算的方法研究了梯度結構熱電材料平均seebeck系數和溫度的關系；同時為了驗證設計的結果，本論文對結構梯度bi _ 2te _ 3 cosb _ 3熱電材料的開路輸出電壓和熱端溫度之間的關系及梯度材料在300k至800k的溫度范圍內使用時的功率輸出進行了相應的研究。

The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained

數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。