The document discusses the transmission system in machining. The transmission system converts the torque and speed (rotations) from the machine into different torque and speeds to be delivered to the final drive. This conversion changes the high rotational speed into lower but more powerful speed, or vice versa. It then provides tables of rotational speeds for different machine modes and gears. It analyzes the gear relationships and interacting gears for each machine mode.
2.2 Special types of Correlation
2.3 Point Biserial Correlation rPB
2.3.1 Calculation of rPB
2.3.2 Significance Testing of rPB
2.4 Phi Coefficient (φ )
2.4.1 Significance Testing of phi (φ )
2.5 Biserial Correlation
2.6 Tetrachoric Correlation
2.7 Rank Order Correlations
2.7.1 Rank-order Data
2.7.2 Assumptions Underlying Pearson’s Correlation not Satisfied
2.8 Spearman’s Rank Order Correlation or Spearman’s rho (rs)
2.8.1 Null and Alternate Hypothesis
2.8.2 Numerical Example: for Untied and Tied Ranks
2.8.3 Spearman’s Rho with Tied Ranks
2.8.4 Steps for rS with Tied Ranks
2.8.5 Significance Testing of Spearman’s rho
2.9 Kendall’s Tau (ô)
2.9.1 Null and Alternative Hypothesis
2.9.2 Logic of Kendall’s Tau and Computation
2.9.3 Computational Alternative for Kendall’s Tau
2.9.4 Significance Testing for Kendall’s Tau
2.2 Special types of Correlation
2.3 Point Biserial Correlation rPB
2.3.1 Calculation of rPB
2.3.2 Significance Testing of rPB
2.4 Phi Coefficient (φ )
2.4.1 Significance Testing of phi (φ )
2.5 Biserial Correlation
2.6 Tetrachoric Correlation
2.7 Rank Order Correlations
2.7.1 Rank-order Data
2.7.2 Assumptions Underlying Pearson’s Correlation not Satisfied
2.8 Spearman’s Rank Order Correlation or Spearman’s rho (rs)
2.8.1 Null and Alternate Hypothesis
2.8.2 Numerical Example: for Untied and Tied Ranks
2.8.3 Spearman’s Rho with Tied Ranks
2.8.4 Steps for rS with Tied Ranks
2.8.5 Significance Testing of Spearman’s rho
2.9 Kendall’s Tau (ô)
2.9.1 Null and Alternative Hypothesis
2.9.2 Logic of Kendall’s Tau and Computation
2.9.3 Computational Alternative for Kendall’s Tau
2.9.4 Significance Testing for Kendall’s Tau
Mpc 006 - 02-03 partial and multiple correlationVasant Kothari
3.2 Partial Correlation (rp)
3.2.1 Formula and Example
3.2.2 Alternative Use of Partial Correlation
3.3 Linear Regression
3.4 Part Correlation (Semipartial correlation) rsp
3.4.1 Semipartial Correlation: Alternative Understanding
3.5 Multiple Correlation Coefficient (R)
Term project estimate no. of element part 2Esraa Hussein
Term project
1- Estimate no. pieces of each size of ( Joist - Stringer - Shores ) for Slab Formwork
2- Estimate no. pieces of each size of ( Sheathing - Stud - Wales - Ties - Bracing ) for W2
Mpc 006 - 02-01 product moment coefficient of correlationVasant Kothari
1.2 Correlation: Meaning and Interpretation
1.2.1 Scatter Diagram: Graphical Presentation of Relationship
1.2.2 Correlation: Linear and Non-Linear Relationship
1.2.3 Direction of Correlation: Positive and Negative
1.2.4 Correlation: The Strength of Relationship
1.2.5 Measurements of Correlation
1.2.6 Correlation and Causality
1.3 Pearson’s Product Moment Coefficient of Correlation
1.3.1 Variance and Covariance: Building Blocks of Correlations
1.3.2 Equations for Pearson’s Product Moment Coefficient of Correlation
1.3.3 Numerical Example
1.3.4 Significance Testing of Pearson’s Correlation Coefficient
1.3.5 Adjusted r
1.3.6 Assumptions for Significance Testing
1.3.7 Ramifications in the Interpretation of Pearson’s r
1.3.8 Restricted Range
1.4 Unreliability of Measurement
1.4.1 Outliers
1.4.2 Curvilinearity
1.5 Using Raw Score Method for Calculating r
1.5.1 Formulas for Raw Score
1.5.2 Solved Numerical for Raw Score Formula
Mpc 006 - 02-03 partial and multiple correlationVasant Kothari
3.2 Partial Correlation (rp)
3.2.1 Formula and Example
3.2.2 Alternative Use of Partial Correlation
3.3 Linear Regression
3.4 Part Correlation (Semipartial correlation) rsp
3.4.1 Semipartial Correlation: Alternative Understanding
3.5 Multiple Correlation Coefficient (R)
Term project estimate no. of element part 2Esraa Hussein
Term project
1- Estimate no. pieces of each size of ( Joist - Stringer - Shores ) for Slab Formwork
2- Estimate no. pieces of each size of ( Sheathing - Stud - Wales - Ties - Bracing ) for W2
Mpc 006 - 02-01 product moment coefficient of correlationVasant Kothari
1.2 Correlation: Meaning and Interpretation
1.2.1 Scatter Diagram: Graphical Presentation of Relationship
1.2.2 Correlation: Linear and Non-Linear Relationship
1.2.3 Direction of Correlation: Positive and Negative
1.2.4 Correlation: The Strength of Relationship
1.2.5 Measurements of Correlation
1.2.6 Correlation and Causality
1.3 Pearson’s Product Moment Coefficient of Correlation
1.3.1 Variance and Covariance: Building Blocks of Correlations
1.3.2 Equations for Pearson’s Product Moment Coefficient of Correlation
1.3.3 Numerical Example
1.3.4 Significance Testing of Pearson’s Correlation Coefficient
1.3.5 Adjusted r
1.3.6 Assumptions for Significance Testing
1.3.7 Ramifications in the Interpretation of Pearson’s r
1.3.8 Restricted Range
1.4 Unreliability of Measurement
1.4.1 Outliers
1.4.2 Curvilinearity
1.5 Using Raw Score Method for Calculating r
1.5.1 Formulas for Raw Score
1.5.2 Solved Numerical for Raw Score Formula
Episode 40 : DESIGN EXAMPLE – DILUTE PHASE PNEUMATIC CONVEYINGSAJJAD KHUDHUR ABBAS
Episode 40 : DESIGN EXAMPLE – DILUTE PHASE PNEUMATIC CONVEYING
DESIGN EXAMPLE – DILUTE PHASE PNEUMATIC CONVEYING
A plastics production plant wants to increase the capacity through an existing conveying system. The existing system has 6 inch ID pipes and is configured as shown in the diagram below.
The High Density Polyethylene (HDPE) particles have an average size of 4 mm. The conveying gas is at 68oF. The existing blower can produce 1375 SCFM.
The desired capacity increase is from 20,000 lbm/hr to 30,000 lbm/hr. Can the existing blower and pipe system meet this increase in capacity?
Assume the pressure drop across the cyclone is 5 inches of water. The pressure drop across the blower inlet pipe and silencers is 0.3 psi. The pipe bends have R/D = 6. Pipe roughness is k = 0.00015 ft. The particles have density pρ = 59 lbm/ft3. Terminal velocity of the particles is = 30.6 ft/s.
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
Episode 40 : DESIGN EXAMPLE – DILUTE PHASE PNEUMATIC CONVEYING (Part 2)SAJJAD KHUDHUR ABBAS
Episode 40 : DESIGN EXAMPLE – DILUTE PHASE PNEUMATIC CONVEYING (Part 2)
DESIGN EXAMPLE – DILUTE PHASE PNEUMATIC CONVEYING
A plastics production plant wants to increase the capacity through an existing conveying system. The existing system has 6 inch ID pipes and is configured as shown in the diagram below.
The High Density Polyethylene (HDPE) particles have an average size of 4 mm. The conveying gas is at 68oF. The existing blower can produce 1375 SCFM.
The desired capacity increase is from 20,000 lbm/hr to 30,000 lbm/hr. Can the existing blower and pipe system meet this increase in capacity?
Assume the pressure drop across the cyclone is 5 inches of water. The pressure drop across the blower inlet pipe and silencers is 0.3 psi. The pipe bends have R/D = 6. Pipe roughness is k = 0.00015 ft. The particles have density pρ = 59 lbm/ft3. Terminal velocity of the particles is = 30.6 ft/s.
SAJJAD KHUDHUR ABBAS
Ceo , Founder & Head of SHacademy
Chemical Engineering , Al-Muthanna University, Iraq
Oil & Gas Safety and Health Professional – OSHACADEMY
Trainer of Trainers (TOT) - Canadian Center of Human
Development
Raimundo Soto - Catholic University of Chile
ERF Training on Advanced Panel Data Techniques Applied to Economic Modelling
29 -31 October, 2018
Cairo, Egypt
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
1. TRANSMISI
MESIN BUBUT
KELOMPOK 3
Fransiskus Bae Lejab
Ahmad Nurmuharrom
Wahyu Ibnu Munsir
Julkarnain Omega
Ekowanto
Ferdiansyah
Ghazy Fadhil Haq
17641047
17641048
17641050
17641051
17641052
17641053
17641254
2. Transmisi ialah Penerusan
Sistem transmisi dalam pemesinan, adalah sistem yang berfungsi
untuk konversi torsi dan kecepatan (putaran) dari mesin menjadi
torsi dan kecepatan yang berbeda-beda untuk diteruskan
ke penggerak akhir. Konversi ini mengubah kecepatan putar yang
tinggi menjadi lebih rendah tetapi lebih bertenaga, atau
sebaliknya.
3. 240 A1
350 C3
430 B2
730 C1
1000 B3
2000 B1
*Rotasi/Menit
TABEL KECEPATAN PUTAR MESIN BUBUT