本文对采用恒电位法测定奥氏体不锈钢316L在NaCl溶液中的阳极极化曲线时产生\二次钝化\的现象进行了研究。在对实验进行分析的基础上,提出把Prazak的\二次钝化\理论的适用范围扩大到点蚀过程;并引用Prazak的理论对NaCl溶液中316L不锈钢的\二次钝化\现象进行了分析讨论。结论认为:\二次钝化\现象只有在特定的材料,介质和环境条件下才能产生。尽管在\二次钝化\发生时,在H2SO4溶液中发生的是不锈钢表面膜的过钝化溶解过程,而在NaCl溶液中发生的是点蚀过程,但产生\二次钝化\的机理是相同的

1 Fundamentals and Cell Physiology 2 Nerve and Muscle, Physical Work 3 Autonomic Nervous System (ANS) 4 Blood 5 Respiration 6 Acid–Base Homeostasis 7 Kidneys, Salt, and Water Balance 8 Cardiovascular System 9 Thermal Balance and Thermoregulation 10 Nutrition and Digestion 11 Hormones and Reproduction 12 Central Nervous System and Senses 13 Appendix Further Reading Index

1 Computer Abstractions and Technology 2 2 Instructions: Language of the Computer 74 3 Arithmetic for Computers 222 4 The Processor 298 5 Large and Fast: Exploiting Memory Hierarchy 450 6 Storage and Other I/O Topics 568 7 Multicores, Multiprocessors, and Clusters 630 A Graphics and Computing GPUs A-2 B Assemblers, Linkers, and the SPIM Simulator B-2 The Basics of Logic Design C-2 Mapping Control to Hardware D-2

5.1 引言 5.2 实现和最小实现 5.3 线性定常系统的最小实现 5.3.1 单变量系统的最小实现 5.3.2 向量传递函数（向量正则有理函数）的实现 5.3.3 用MATLAB求系统的最小实现

层状锰基材料Li[Lix（MnM）1-x]O2（M=Ni，Co，Cr，…）以高比容量成为最具应用前景的正极体系之一，近年来成为研究热点而倍受关注，尤其借助原位测试分析等先进表征手段，对Li[Lix（MnM）1-x]O2的结构及其高容量获取机理的研究取得显著进展.本文概括介绍了高能量密度层状正极材料的结构与充放电机理，重点针对其目前依然存在的问题，详细归纳了Li[Lix（MnM）1-x]O2正极材料充放电循环过程中电压衰减机理、界面/表面特征以及性能改善的研究新进展，而且对高能量密度层状正极材料的未来研究方向也进行了探讨

通过DIL805A热分析仪、扫描电子显微镜、电子背散射衍射、透射电子显微镜、力学分析等方法研究Mn对中锰耐磨钢组织形态、相变及力学性能的影响.随着Mn的质量分数以2%的增量从3%提高到9%,室温奥氏体含量逐渐增多,抗拉强度及硬度逐渐降低,抗拉强度和室温奥氏体体积分数都在5%到7%时变化明显,马氏体与奥氏体的位向关系发生改变,马氏体形态类型逐渐由亚结构以位错为主的板条状α马氏体变化为亚结构以位错、相变内孪晶和层错为主的束状细片α马氏体和细片状ε马氏体

1 8.1 Controller Parameterization for General Plants 2 8.2 H∞ PID Controllers for Unstable Plants 3 8.3 H2 PID Controllers for Unstable Plants 4 8.4 Performance Limitation and Robustness 5 8.5 Maclaurin PID Controllers for Unstable Plants 6 8.6 PID Design for the Best Achievable Performance 7 8.6 All Stabilizing PID Controllers for Unstable Plants

1 7.1 The Feature of Integrating Systems 2 7.2 H∞ PID Controllers for Integrating Plants 3 7.3 H2 PID Controllers for Integrating Plants 4 7.4 Controller Design for General Integrating Plants 5 7.5 Maclaurin PID Controllers for Integrating Plants 6 7.6 Best Achievable Performance of a PID Controllers

1 6.1 The Quasi-H∞ Smith Predictor 2 6.2 The H2 Optimal Controller and the Smith Predictor 3 6.3 Equivalents of the Optimal Controller 4 6.4 The PID Controller and High-Order Controllers 5 6.5 Choice of Weighting Functions 6 6.6 Simplified Tuning for Quantitative Robustness

1 5.1 H2 PID Controllers for the First-Order Plant 2 5.2 Quantitative Tuning of H2 PID Controllers 3 5.3 H2 PID Controllers for the Second-Order Plant 4 5.4 Control of Inverse Response Processes 5 5.5 PID Controllers Based on the Maclaurin Series Expansion 6 5.6 PID Controllers with the Best Achievable Performance 7 5.7 Choice of the Filter