The document contains 19 tables that provide various property data for materials in SI units. Table A-1 lists molar mass, gas constants, and specific heats for various substances. Table A-2 gives boiling points, freezing points, and other liquid properties. Table A-3 provides thermal conductivity, heat capacity, density and other solid metal properties at different temperatures.
Tabel uap untuk membantu dalam meyelesaikan persoalan pada pengolahan pangan. Cari lebih banyak di; http://muhammadhabibielecture.blogspot.com/2015/02/materi-kuliah-semester-4.html
Tabel uap untuk membantu dalam meyelesaikan persoalan pada pengolahan pangan. Cari lebih banyak di; http://muhammadhabibielecture.blogspot.com/2015/02/materi-kuliah-semester-4.html
Buku berisi pembahasan dasar tentang aplikasi dari studi perpindahan kalor, yaitu: alat penukar kalor. Konsentrasinya adalah analisa dasar dari alat penukar kalor tersebut. Dan penulis harapkan dapat bermanfaat, sampai kritik dan saran untuk memperbaiki materi ini.
Buku berisi pembahasan dasar tentang aplikasi dari studi perpindahan kalor, yaitu: alat penukar kalor. Konsentrasinya adalah analisa dasar dari alat penukar kalor tersebut. Dan penulis harapkan dapat bermanfaat, sampai kritik dan saran untuk memperbaiki materi ini.
WoodWorks 2013 Vancouver - Energy-Efficient Building Enclosure Design Guideli...Graham Finch
Presentation from the 2013 Vancouver Woodworks Conference (October 29, 2013). Covers an overview of the considerations for energy-efficient wood frame building enclosures while outlining the content of a new guideline document published by FP Innovations "Guide for Designing Energy Efficiency Building Enclosures for Wood-Frame Multi-Unit Residential Buildings in Marine to Cold Climate Zones in North America"
Selection of Heat Exchanger Types
0 INTRODUCTION/PURPOSE
1 SCOPE
2 FIELD OF APPLICATION
3 DEFINITIONS
4 BACKGROUND
5 FACTORS INFLUENCING SELECTION
5.1 Type of Duty
5.2 Temperatures and Pressures
5.3 Materials of Construction 5.4 Fouling
5.5 Safety and Reliability
5.6 Repairs
5.7 Design Methods
5.8 Dimensions and Weight
5.9 Cost
5.10 GBHE Experience
6 TYPES OF EXCHANGER
6.1 Shell and Tube Exchangers
6.2 Cylindrical Graphite Block Heat Exchangers
6.3 Cubic Graphite Block Heat Exchangers
6.4 Air Cooled Heat Exchangers
6.5 Gasketed Plate and Frame
6.6 Spiral Plate
6.7 Tube in Duct
6.8 Plate-fin
6.9 Printed Circuit Heat Exchanger (PCHE)
6.10 Scraped Surface/Wiped Film Exchangers
6.11 Welded or Brazed Plate
6.12 Double Pipe
6.13 Electric Heaters
6.14 Fired Process Heaters
TABLE
(1) ADVANTAGES AND DISADVANTAGES OF DIFFERENT SHELL AND TUBE DESIGNS
FIGURES
1 ESTIMATED MAIN PLANT ITEM COSTS
2 ESTIMATED INSTALLED COSTS
3 TEMA HEAT EXCHANGER NOMENCLATURE
4 F ‘CORRECTION FACTORS' : TEMA E SHELL WITH EVEN NUMBER OF PASSE
5 SHELL AND TUBE HEAT EXCHANGER HEAD TYPES
6 GENERAL ARRANGEMENT OF A CYLINDRICAL GRAPHITE BLOCK HEAT EXCHANGER
7 EXPLODED VIEW OF A CUBIC GRAPHITE BLOCK
HEAT EXCHANGER
8 TYPICAL AIR COOLED HEAT EXCHANGER
9 GENERAL VIEW OF ONE END OF A 3-STREAM
PLATE-FIN HEAT EXCHANGER
10 TYPICAL PCHE PLATE
11 VICARB ‘COMPABLOC' EXCHANGER
12 ‘BROWN FINTUBE' MULTITUBE HEAT EXCHANGER
13 FIRED HEATER : SCHEMATICS AND NOMENCLATURE
From hurricanes to blizzards to bolts of lightning, power failures were attributed to an array of damaging events in 2016, taking a toll on the lives of millions of electricity customers. Here, we round up some of the most significant.
More interesting information can be found here: http://switchon.eaton.com/blackout-tracker
Based on a survey commissioned by RightNow and conducted by Harris Interactive, this report explores the relationship between consumers and brands. It reveals facts about what consumers are looking for and identifies concrete actions brands can take to keep the connection with consumers alive and well.
Ergebnisse Hypermotion Studie Digitalisierung und MobilitaetConnected-Blog
Mobilität 4.0 – Studie zur Digitale Transformation bei Mobilität & Logistik
Die Messe Frankfurt hat Ende 2016 gemeinsam mit dem Institut für Supply Chain Management, Cluster- und Mobility Management an der International School of Management (ISM) , Frankfurt, diese Studie zu "Mobilität und Digitalisierung" veröffentlicht.
Mehr Informationen zum Thema finden Interessierte bei der Fachmesse Hypermotion http://hypermotion-frankfurt.messefrankfurt.com/frankfurt/de/aussteller/willkommen.html
CONVERSIONS TO USE
METRIC PREFIXES
This table uses liters (L) as the base unit, but you can use this table for ANY base unit. For example, 1 s = 1×106 µs.
OR Base Unit Prefix
OR
OR
OR
OR
OR
OR
OR
OR
OR
NOTE: Two equivalence statements are written for each prefix. Either is equally correct (they are exactly the
same). Use whichever makes more sense to you.
OTHER CONVERSIONS
All of these are exact numbers except those marked with *
METRIC tt METRIC ENGLISH tt
ENGLISH
ENGLISH tt
METRIC
LENGTH 1 cm = 1×108 Å
(Å is the symbol for
angstroms)
12 in. = 1 ft.
3 ft. = 1 yd.
5280 ft. = 1 mi.
1 in. = 2.54 cm
1 mile = 1.609 km*
MASS / WEIGHT 1000 kg = 1 metric ton 2000 lb. = 1 ton
16 oz. = 1 lb.
1 lb. = 453.6 g*
VOLUME 1 L = 1 dm3
1 mL = 1 cm3
1000 L = 1 m3
3 tsp. = 1 Tbsp.
16 Tbsp. = 1 cup
2 cups = 1 pint
2 pints = 1 quart
4 quarts = 1 gal.
8 fluid oz. = 1 cup
1 qt. = 0.9464 L*
1 fluid oz. = 29.57 mL*
1 ft3 = 28.32 L*
TEMPERATURE TK = TC + 273.15 TF = 1.8(TC) + 32
TC = (TF - 32) / 1.8
ENERGY 1 cal = 4.184 J
NOTE: The ounces that measure mass are completely different from and unrelated to the fluid
ounces that measure volume.
DO NOT WRITE ON THIS SHEET
DO NOT WRITE ON THIS SHEET
Symbol Meaning Base Unit Prefix
giga, G billion 1 L = 1×10–9 GL
mega, M million 1 L = 1×10–6 ML
kilo, k thousand 1 L = 0.001 kL
deci, d tenth 1 L = 10 dL
centi, c hundredth 1 L = 100 cL
milli, m thousandth 1 L = 1000 mL
micro, µ millionth 1 L = 1×106 µL
nano, n billionth 1 L = 1×109 nL
pico, p trillionth 1 L = 1×1012 pL
1×109 L = 1 GL
1×106 L = 1 ML
1000 L = 1 kL
0.1 L = 1 dL
0.01 L = 1 cL
0.001 L = 1 mL
1×10–6 L = 1 µL
1×10–9 L = 1 nL
1×10–12 L = 1 pL
SOME CONSTANTS AND EQUATIONS
density =
mass
volume
mass % element in a compound = g element
g compound
⨯ 100
c = speed of light = 3.00x108 m/s
Ephoton = h Planck’s constant = 6.626x10–34 J´s
E = hc
λ
Avogadro’s Number = 6.022x1023
ELECTROMAGNETIC SPECTRUM
ELECTRONEGATIVITIES FOR SOME OF THE ELEMENTS
H
2.1
Li
1.0
Be
1.5
B
2.0
C
2.5
N
3.0
O
3.5
F
4.0
Na
0.9
Mg
1.2
Al
1.5
Si
1.8
P
2.1
S
2.5
Cl
3.0
K
0.8
Ca
1.0
Sc
1.3
Ti
1.5
V
1.6
Cr
1.6
Mn
1.5
Fe
1.8
Co
1.9
Ni
1.9
Cu
1.9
Zn
1.6
Ga
1.6
Ge
1.8
As
2.0
Se
2.4
Br
2.8
Rb
0.8
Sr
1.0
Y
1.2
Zr
1.4
Nb
1.6
Mo
1.8
Tc
1.9
Ru
2.2
Rh
2.2
Pd
2.2
Ag
1.9
Cd
1.7
In
1.7
Sn
1.8
Sb
1.9
Te
2.1
I
2.5
Cs
0.7
Ba
0.9
La
1.0
Hf
1.3
Ta
1.5
W
1.7
Re
1.9
Os
2.2
Ir
2.2
Pt
2.2
Au
2.4
Hg
1.9
Tl
1.8
Pb
1.9
Bi
1.9
Po
2.0
At
2.2
Hp
0.7
Hm
0.8
Ws
1.0
Ss
1.2
Lp
1.3
Bl
1.5
Ad
1.7
Nv
1.9
Le
2.0
Mc
2.1
Rs
2.3
Gh
1.8
An
1.8
Fd
1.9
Sw
1.9
Gm
2.0
Gf
2.1
DO NOT WRITE ...
Reactor design is one of the important part of chemical engineering equipment design, This presentation gives you ideas about what terms to consider while doing the design of equipment for the process
A boiler is an enclosed vessel that provides a means for combustion heat to be transferred to Water until it becomes heated water or steam. The hot water or steam under pressure is then Usable for transferring the heat to a process. The Versol standard range of Boilers are is developed to generate hot water/Steam based on the demand by efficiently. VERSOCALD are mainly 2 types- Steam Boilers and Hot Water Boilers. Further based on the construction they are classified in to Vertical &Horizontal type boilers. VERSOL have wide range of boilers which include Real Three Pass Boilers, Reverse Flame Boilers and Condensing Boilers.
Hydrogen Peroxide- Review of its Role as Part of a Mine Drainage Treatment St...Michael Hewitt, GISP
Jon Smoyer P.G., PA Department of Environmental Protection (DEP), “Hydrogen Peroxide- Review of its Role as Part of a Mine Drainage Treatment Strategy”
Hydrogen Peroxide has been used to oxidize and remove ferrous iron from mine drainage for decades. It is a relatively inexpensive and effective oxidant that can be used to achieve rapid ferrous iron oxidation in many active and semi-passive mine drainage treatment systems. This presentation outlines the physical properties, concentrations, and available delivery options for hydrogen peroxide.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...
App1(1)
1. PROPERTY TABLES AND
CHARTS (SI UNITS)
TABLE A–1 Molar mass, gas constant, and ideal-gas specific heats of
some substances 866
TABLE A–2 Boiling and freezing point properties 867
TABLE A–3 Properties of solid metals 868–870
TABLE A–4 Properties of solid nonmetals 871
TABLE A–5 Properties of building materials 872–873
TABLE A–6 Properties of insulating materials 874
TABLE A–7 Properties of common foods 875–876
TABLE A–8 Properties of miscellaneous materials 877
TABLE A–9 Properties of saturated water 878
TABLE A–10 Properties of saturated refrigerant–134a 879
TABLE A–11 Properties of saturated ammonia 880
TABLE A–12 Properties of saturated propane 881
TABLE A–13 Properties of liquids 882
TABLE A–14 Properties of liquid metals 883
TABLE A–15 Properties of air at 1 atm pressure 884
TABLE A–16 Properties of gases at 1 atm pressure 885–886
TABLE A–17 Properties of the atmosphere at high altitude 887
TABLE A–18 Emissivities of surfaces 888–889
TABLE A–19 Solar radiative properties of materials 890
FIGURE A–20 The Moody chart for friction factor for fully developed
flow in circular pipes 891
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APPENDIX
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APPENDIX 1
TABLE A–1
Molar mass, gas constant, and ideal-gas specific heats of some substances
Specific Heat Data at 25ЊC
Molar Mass Gas Constant
Substance M, kg/kmol R, kJ/kg·K* cp, kJ/kg·K cv, kJ/kg·K k ϭ cp /cv
Air 28.97 0.2870 1.005 0.7180 1.400
Ammonia, NH3 17.03 0.4882 2.093 1.605 1.304
Argon, Ar 39.95 0.2081 0.5203 0.3122 1.667
Bromine, Br2 159.81 0.05202 0.2253 0.1732 1.300
Isobutane, C4H10 58.12 0.1430 1.663 1.520 1.094
n-Butane, C4H10 58.12 0.1430 1.694 1.551 1.092
Carbon dioxide, CO2 44.01 0.1889 0.8439 0.6550 1.288
Carbon monoxide, CO 28.01 0.2968 1.039 0.7417 1.400
Chlorine, Cl2 70.905 0.1173 0.4781 0.3608 1.325
Chlorodifluoromethane (R-22), CHCIF2 86.47 0.09615 0.6496 0.5535 1.174
Ethane, C2H6 30.070 0.2765 1.744 1.468 1.188
Ethylene, C2H4 28.054 0.2964 1.527 1.231 1.241
Fluorine, F2 38.00 0.2187 0.8237 0.6050 1.362
Helium, He 4.003 2.077 5.193 3.116 1.667
n-Heptane, C7H16 100.20 0.08297 1.649 1.566 1.053
n-Hexane, C6H14 86.18 0.09647 1.654 1.558 1.062
Hydrogen, H2 2.016 4.124 14.30 10.18 1.405
Krypton, Kr 83.80 0.09921 0.2480 0.1488 1.667
Methane, CH4 16.04 0.5182 2.226 1.708 1.303
Neon, Ne 20.183 0.4119 1.030 0.6180 1.667
Nitrogen, N2 28.01 0.2968 1.040 0.7429 1.400
Nitric oxide, NO 30.006 0.2771 0.9992 0.7221 1.384
Nitrogen dioxide, NO2 46.006 0.1889 0.8060 0.6171 1.306
Oxygen, O2 32.00 0.2598 0.9180 0.6582 1.395
n-Pentane, C5H12 72.15 0.1152 1.664 1.549 1.074
Propane, C3H8 44.097 0.1885 1.669 1.480 1.127
Propylene, C3H6 42.08 0.1976 1.531 1.333 1.148
Steam, H2O 18.015 0.4615 1.865 1.403 1.329
Sulfur dioxide, SO2 64.06 0.1298 0.6228 0.4930 1.263
Tetrachloromethane, CCI4 153.82 0.05405 0.5415 0.4875 1.111
Tetrafluoroethane (R-134a), C2H2F4 102.03 0.08149 0.8334 0.7519 1.108
Trifluoroethane (R-143a), C2H3F3 84.04 0.09893 0.9291 0.8302 1.119
Xenon, Xe 131.30 0.06332 0.1583 0.09499 1.667
*The unit kJ/kg·K is equivalent to kPa·m3
/kg·K. The gas constant is calculated from R ϭ RU /M, where RU ϭ 8.31447 kJ/kmol·K is the universal gas
constant and M is the molar mass.
Source: Specific heat values are obtained primarily from the property routines prepared by The National Institute of Standards and Technology (NIST),
Gaithersburg, MD.
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