國立虎尾科技大學 |

The Monte Carlo ray-trace method in radiation heat transfer and applied optics /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The Monte Carlo ray-trace method in radiation heat transfer and applied optics // J. Robert Mahan.
作者:	Mahan, J. R.,
面頁冊數:	1 online resource (280 pages) :illustrations. :
標題:	Heat - Transmission -
電子資源:	https://asmedigitalcollection.asme.org/ebooks/book/224/The-Monte-Carlo-Ray-Trace-Method-in-Radiation-Heat
ISBN:	9781119518471 (e-ISBN)

The Monte Carlo ray-trace method in radiation heat transfer and applied optics /
Mahan, J. R.,

The Monte Carlo ray-trace method in radiation heat transfer and applied optics /J. Robert Mahan. - 1 online resource (280 pages) :illustrations.

Includes bibliographical references and index.

Front Matter -- 1 Fundamentals of Ray Tracing -- 2 Fundamentals of Thermal Radiation -- 3 The Radiation Distribution Factor for Diffuse-Specular Gray Surfaces -- 4 Extension of the MCRT Method to Non-Diffuse, Non- Gray Enclosures --5 The MCRT Method for Participating Media -- 6 Extension of the MCRT Method to Physical Optics -- 7 Statistical Estimation of Uncertainty in the MCRT Method -- Back Matter.=

Restricted to subscribers or individual electronic text purchasers.

A groundbreaking guide dedicated exclusively to the MCRT method in radiation heat transfer and applied optics. The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics offers the most modern and up-to-date approach to radiation heat transfer modelling and performance evaluation of optical instruments. The Monte Carlo ray-trace (MCRT) method is based on the statistically predictable behavior of entities, called rays, which describe the paths followed by energy bundles as they are emitted, reflected, scattered, refracted, diffracted and ultimately absorbed. The author – a noted expert on the subject – covers a wide variety of topics including the mathematics and statistics of ray tracing, the physics of thermal radiation, basic principles of geometrical and physical optics, radiant heat exchange among surfaces and within participating media, and the statistical evaluation of uncertainty of results obtained using the method. The book is a guide to help formulate and solve models that accurately describe the distribution of radiant energy in thermal and optical systems of practical engineering interest. This important guide: Combines radiation heat transfer and applied optics into a single discipline. Covers the MCRT method, which has emerged as the dominant tool for radiation heat transfer modelling. Helps readers to formulate and solve models that describe the distribution of radiant energy. Features pages of color images and a wealth of line drawings. Written for faculty and graduate students in mechanical and aerospace engineering and applied optics professionals, The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics is the first book dedicated exclusively to the MCRT method.

Electronic reproduction.
New York, N.Y. :
The American Society of Mechanical Engineers,
2019.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

In English.

ISBN: 9781119518471 (e-ISBN)

Standard No.: 10.1115/1.861MAH doi

Publisher. No.: 861MAHasme

ASME, Two Park Avenue. New York, NY 10016

LCCN: 2018043872Subjects--Topical Terms:

557601
Heat
--TransmissionIndex Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QC320

Dewey Class. No.: 536/.201518282

The Monte Carlo ray-trace method in radiation heat transfer and applied optics /
LDR:04505nam 2200553 i 4500 001 959383
003 IN-ChSCO
005 20190318170105.0
006 m|||||||||||||||||
007 cr |n||||||||n
008 201126s2019||||nyua|||foba|||001|0|eng|d
010 $a 2018043872
020 $a 9781119518471 (e-ISBN)
020 $a 1119518474 (e-ISBN)
020 $z 9781119518518 (print-ISBN)
020 $z 1119518512 (print-ISBN)
024 7 $a 10.1115/1.861MAH $2 doi
028 5 1 $a 861MAH $b asme
035 $a (OCoLC)1078929237
035 $a 1011151861MAH
037 $b ASME, Two Park Avenue. New York, NY 10016
040 $a IN-ChSCO $b eng $e rda
041 0 $a eng
050 4 $a QC320
072 7 $a SCI $x 065000 $2 bisacsh
072 7 $a SCI $x 058000 $2 bisacsh
082 0 4 $a 536/.201518282 $2 23
100 1 $a Mahan, J. R., $e author. $3 1252374
245 1 0 $a The Monte Carlo ray-trace method in radiation heat transfer and applied optics / $c J. Robert Mahan.
264 1 $a New York, N.Y. : $b The American Society of Mechanical Engineers, $c [2019].
264 4 $c ©2019.
300 $a 1 online resource (280 pages) : $b illustrations.
336 $a text $2 rdacontent
337 $a computer $2 isbdmedia
338 $a online resource $2 rdacarrier
347 $a text file $b PDF $2 rda
504 $a Includes bibliographical references and index.
505 0 $a Front Matter -- 1 Fundamentals of Ray Tracing -- 2 Fundamentals of Thermal Radiation -- 3 The Radiation Distribution Factor for Diffuse-Specular Gray Surfaces -- 4 Extension of the MCRT Method to Non-Diffuse, Non- Gray Enclosures --5 The MCRT Method for Participating Media -- 6 Extension of the MCRT Method to Physical Optics -- 7 Statistical Estimation of Uncertainty in the MCRT Method -- Back Matter.=
506 $a Restricted to subscribers or individual electronic text purchasers.
506 $a Subscription required for access to full text.
506 $a License restrictions may limit access.
520 3 $a A groundbreaking guide dedicated exclusively to the MCRT method in radiation heat transfer and applied optics. The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics offers the most modern and up-to-date approach to radiation heat transfer modelling and performance evaluation of optical instruments. The Monte Carlo ray-trace (MCRT) method is based on the statistically predictable behavior of entities, called rays, which describe the paths followed by energy bundles as they are emitted, reflected, scattered, refracted, diffracted and ultimately absorbed. The author – a noted expert on the subject – covers a wide variety of topics including the mathematics and statistics of ray tracing, the physics of thermal radiation, basic principles of geometrical and physical optics, radiant heat exchange among surfaces and within participating media, and the statistical evaluation of uncertainty of results obtained using the method. The book is a guide to help formulate and solve models that accurately describe the distribution of radiant energy in thermal and optical systems of practical engineering interest. This important guide: Combines radiation heat transfer and applied optics into a single discipline. Covers the MCRT method, which has emerged as the dominant tool for radiation heat transfer modelling. Helps readers to formulate and solve models that describe the distribution of radiant energy. Features pages of color images and a wealth of line drawings. Written for faculty and graduate students in mechanical and aerospace engineering and applied optics professionals, The Monte Carlo Ray-Trace Method in Radiation Heat Transfer and Applied Optics is the first book dedicated exclusively to the MCRT method.
530 $a Also available in print and PDF edition.
530 $a Full text article also available for purchase.
533 $a Electronic reproduction. $b New York, N.Y. : $c The American Society of Mechanical Engineers, $d 2019. $n Mode of access: World Wide Web. $n System requirements: Web browser. $n Access may be restricted to subscribers or individual electronic text purchasers.
538 $a System requirements: Adobe Acrobat Reader.
538 $a Mode of access: Internet via World Wide Web.
546 $a In English.
588 $a Title from PDF title page (ASME eBooks Web site, viewed on March 18, 2019).
650 0 $a Heat $x Transmission $x Mathematical models. $3 557601
650 0 $a Monte Carlo method. $3 672188
650 0 $a Ray tracing algorithms. $3 1054121
650 7 $a SCIENCE / Mechanics / Thermodynamics. $2 bisacsh $3 1252375
650 7 $a SCIENCE / Radiation. $2 bisacsh $3 1252376
655 0 $a Electronic books. $2 local $3 554714
710 2 $a The American Society of Mechanical Engineers, $e publisher. $3 1252298
856 4 0 $3 ASME $u https://asmedigitalcollection.asme.org/ebooks/book/224/The-Monte-Carlo-Ray-Trace-Method-in-Radiation-Heat
949 $a QC 320 $w LC $c 1 $i 861MAH-1001 $d 02/18/2019 $l MAIN $m MGH $q 1 $r Y $s Y $t WEB $u 03/18/2019 $x ENG