LEADER 03570nam 2200901z- 450 001 9910743274403321 005 20230911 035 $a(CKB)5690000000228564 035 $a(oapen)doab113971 035 $a(EXLCZ)995690000000228564 100 $a20230920c2023uuuu -u- - 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aResearch Progress in High-Performance Magnesium Alloy and Its Applications 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2023 215 $a1 online resource (176 p.) 311 08$a3-0365-8595-8 330 $aMg alloy is the lightest metallic structural material and possesses the advantages of high specific strength, high specific stiffness, good electromagnetism shield, good damping capacity, good machinability, and easy recycling, etc. Therefore, it has extremely broad application prospects and has drawn considerable interest in the fields of automobile, electronics, electrical appliances, transportation, aerospace, and aviation. In addition, Mg alloys are gradually showing application potential in emerging industries, serving as biodegradable metals in the biomedical field, functional material for hydrogen storage, and so on. This Special Issue (SI), entitled "Research Progress in High-Performance Magnesium Alloy and Its Applications", presents recent developments and excellent results in the field of Mg alloys, and includes 10 articles and one editorial covering some interesting aspects of the topic. 606 $aHistory of engineering and technology$2bicssc 606 $aMaterials science$2bicssc 606 $aTechnology: general issues$2bicssc 610 $a{10-12} twin 610 $aAl-Mg alloys 610 $aannealing 610 $abackward extrusion 610 $abiocompatibility 610 $aboride 610 $aCa2Mg6Zn3 phase 610 $acold metal transfer 610 $acombustion 610 $acompression 610 $aconstitutive model 610 $acorrosion behaviors 610 $acorrosion resistance 610 $adynamic recrystallization kinetics 610 $afailure mechanism 610 $afiller material 610 $aflame temperature 610 $agrain refinement 610 $ahigh strength and toughness 610 $ahigh temperature cross-rolling 610 $ahot deformation 610 $aignition 610 $aimplantable bio-metal materials 610 $amagnesium alloy 610 $amechanical alloying 610 $amechanical properties 610 $aMg alloy 610 $aMg-Bi-Ca alloy 610 $aMg-Gd-Y alloy 610 $aMg-Zn-Mn-Ca 610 $aMgB2 610 $amicrostructure 610 $amicrostructure modification 610 $amultidirectional impact forging 610 $an/a 610 $aorthogonal experiment 610 $arandom orientation 610 $aroom temperature 610 $ascandium 610 $aSKPFM 610 $astretch formability 610 $asurface coating modification 610 $atensile strength 610 $atexture 610 $atwinning 610 $awelding 610 $awire arc additive manufacturing 615 7$aHistory of engineering and technology 615 7$aMaterials science 615 7$aTechnology: general issues 906 $aBOOK 912 $a9910743274403321 996 $aResearch Progress in High-Performance Magnesium Alloy and Its Applications$93560542 997 $aUNINA LEADER 05115nam 22007575 450 001 9910299478303321 005 20200702220133.0 010 $a1-4614-8945-8 024 7 $a10.1007/978-1-4614-8945-0 035 $a(CKB)3710000000078555 035 $a(DE-He213)978-1-4614-8945-0 035 $a(SSID)ssj0001067041 035 $a(PQKBManifestationID)11602468 035 $a(PQKBTitleCode)TC0001067041 035 $a(PQKBWorkID)11078801 035 $a(PQKB)11328093 035 $a(MiAaPQ)EBC3091951 035 $a(PPN)176100121 035 $a(EXLCZ)993710000000078555 100 $a20131104d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aOptimal Control with Aerospace Applications /$fby James M Longuski, José J. Guzmán, John E. Prussing 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (XX, 273 p. 91 illus.) 225 1 $aSpace Technology Library ;$v32 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a1-4614-8944-X 320 $aIncludes bibliographical references and index. 327 $aAcknowledgments -- Preface -- Chapter One: Parameter Optimization -- Chapter Two: Optimal Control Theory -- Chapter Three: The Euler-Lagrange Theorem -- Chapter Four: Application of the Euler-Lagrange Theorem -- Chapter Five: The Weierstrass Condition -- Chapter Six: The Minimum Principle -- Chapter Seven: Some Applications -- Chapter Eight: Weierstrass-Erdmann Corner Conditions -- Chapter Nine: Bounded Control Problems -- Chapter Ten: General Theory of Optimal Rocket Trajectories -- Appendices -- Bibliography. 330 $aWant to know not just what makes rockets go up but how to do it optimally? Optimal control theory has become such an important field in aerospace engineering that no graduate student or practicing engineer can afford to be without a working knowledge of it. This is the first book that begins from scratch to teach the reader the basic principles of the calculus of variations, develop the necessary conditions step-by-step, and introduce the elementary computational techniques of optimal control. This book, with problems and an online solution manual, provides the graduate-level reader with enough introductory knowledge so that he or she can not only read the literature and study the next level textbook but can also apply the theory to find optimal solutions in practice. No more is needed than the usual background of an undergraduate engineering, science, or mathematics program: namely calculus, differential equations, and numerical integration. Although finding optimal solutions for these problems is a complex process involving the calculus of variations, the authors carefully lay out step-by-step the most important theorems and concepts. Numerous examples are worked to demonstrate how to apply the theories to everything from classical problems (e.g., crossing a river in minimum time) to engineering problems (e.g., minimum-fuel launch of a satellite). Throughout the book use is made of the time-optimal launch of a satellite into orbit as an important case study with detailed analysis of two examples: launch from the Moon and launch from Earth. For launching into the field of optimal solutions, look no further! . 410 0$aSpace Technology Library ;$v32 606 $aAutomatic control 606 $aDifferential equations 606 $aPhysics 606 $aMechanics 606 $aAerospace engineering 606 $aAstronautics 606 $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010 606 $aOrdinary Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12147 606 $aApplied and Technical Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P31000 606 $aClassical Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21018 606 $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050 615 0$aAutomatic control. 615 0$aDifferential equations. 615 0$aPhysics. 615 0$aMechanics. 615 0$aAerospace engineering. 615 0$aAstronautics. 615 14$aControl and Systems Theory. 615 24$aOrdinary Differential Equations. 615 24$aApplied and Technical Physics. 615 24$aClassical Mechanics. 615 24$aAerospace Technology and Astronautics. 676 $a629.8 700 $aLonguski$b James M$4aut$4http://id.loc.gov/vocabulary/relators/aut$0945760 702 $aGuzmán$b José J$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPrussing$b John E$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299478303321 996 $aOptimal Control with Aerospace Applications$92135890 997 $aUNINA