SlideShare a Scribd company logo
Center of Mass
vs
Geometric Center
A presentation by Group 2
Differentiate Center of
mass of a system and
Geometric Center
01
OBJECTIVE
Center of Mass
- Is the point where the whole mass of
the body/system is concentrated
- The point where the gravitational
force, weight of the body, acts
generally in any orientation of the
body
Center of Mass
It is calculated using the following formula:
Center of mass
= (m1r1 + m2r2 + ... + mn rn) / (m1 +
m2 + ... + mn)
Geometric Center or Centroid
The geometric center is the
point where all the sides or
edges of an object intersect or
converge.
Geometric Center or Centroid
It is calculated using the following formula:
Geometric center
= (x1 + x2 + ... + xn) / n, (y1 + y2 + ... +
yn) / n
Contents of this template
Fonts To view this template correctly in PowerPoint, download and install the fonts we used
Used and alternative resources An assortment of graphic resources that are suitable for use in this presentation
Thanks slide You must keep it so that proper credits for our design are given
Colors All the colors used in this presentation
Icons and infographic resources These can be used in the template, and their size and color can be edited
Editable presentation theme You can edit the master slides easily. For more info, click here
You can delete this slide when you’re done editing the presentation
For more info:
SLIDESGO | BLOG | FAQS
You can visit our sister projects:
FREEPIK | FLATICON | STORYSET | WEPIK | VIDEVO
Center of Mass vs Geometric Center
The center of mass and geometric center may
not always coincide. The geometric center is a
purely geometric property, whereas the center
of mass depends on the mass distribution of the
object. The center of mass takes into account
the mass of each object and its position, while
the geometric center is only based on the
position of each point.
Center of Mass vs Geometric Center
The center of mass is the point in a system
where the mass is evenly distributed, and it
behaves as if all the mass were concentrated at
that point. It takes into account the mass of
each object and its position, and it is used in
physics and engineering to analyze the motion
of systems, such as objects in freefall,
projectiles, and collisions.
Center of Mass vs Geometric Center
On the other hand, the geometric center is
the point where all the sides or edges of an
object intersect or converge. It is a purely
geometric property, and it is used in design,
architecture, and graphics to locate the
position of an object, such as a shape, a
building, or an image.
Center of Mass vs Geometric Center
While the center of mass depends on the
mass distribution of the object, the
geometric center is only based on the
position of each point or edge.
Therefore, the center of mass and geometric
center may not always coincide.
Problem Samples
Find the center of mass of a system of two
masses: 2 kg located at (1,1) and 3 kg located
at (5,3).
Center of Mass
Difficulty Level: Easy
Solution:
Center of mass = (2(1,1) + 3(5,3)) / (2+3) = (4,2.2)
Center of Mass
Difficulty Level: Easy
Explanation:
In this case, we have a system of two masses, one of
2 kg at point (1,1) and the other of 3 kg at point (5,3).
To find the center of mass, we need to use the
formula:
Center of mass = (m1r1 + m2r2) / (m1 + m2)
where m is the mass of each object and r is the
position vector of each object.
Center of Mass
Difficulty Level: Easy
Explanation:
Substituting the given values, we get:
Center of mass = (2(1,1) + 3(5,3)) / (2+3)
= (2, 2) + (15, 9) / 5
= (17, 11) / 5
= (3.4, 2.2)
Therefore, the center of mass of the system of two
masses is located at (3.4, 2.2).
Center of Mass
Difficulty Level: Easy
Find the geometric center of a rectangle with
vertices at (0,0), (0,4), (6,4), and (6,0).
Geometric Center
Difficulty Level: Easy
Solution:
Geometric center
= (0+0+6+6)/4, (0+4+4+0)/4 = (3,2)
Geometric Center
Difficulty Level: Easy
Explanation:
In this case, the opposite corners of the rectangle are
(0,0) and (6,4), and (0,4) and (6,0).
To find the geometric center, we take the average of
the x-coordinates of the corners and the average of
the y-coordinates of the corners separately.
Geometric Center
Difficulty Level: Easy
Explanation:
The average of the x-coordinates is
(0+0+6+6)/4 = 3, and the average of the y-
coordinates is (0+4+4+0)/4 = 2.
Therefore, the geometric center of the
rectangle is located at (3, 2).
Geometric Center
Difficulty Level: Easy
Find the center of mass of a system of
four masses: 2 kg located at (0,0), 4 kg
located at (4,0), 6 kg located at (4,3), and
8 kg located at (0,3).
Center of Mass
Difficulty Level: Medium
Explanation:
In this case, we have a system of four masses, each
with a different mass and position.
To find the center of mass, we need to use the
formula:
Center of mass
= (m1r1 + m2r2 + m3r3 + m4r4) / (m1 + m2 + m3 + m4)
where m is the mass of each object and r is the
position vector of each object.
Center of Mass
Difficulty Level: Medium
Explanation:
Substituting the given values, we get:
Center of mass
= (2(0,0) + 4(4,0) + 6(4,3) + 8(0,3)) / (2+4+6+8)
= (0, 0) + (16, 0) + (24, 18) + (0, 24) / 20
= (40, 42) / 20
= (3.2, 1.8)
Therefore, the center of mass of the system of four masses is
located at (3.2, 1.8).
Center of Mass
Difficulty Level: Medium
Find the geometric center of a regular octagon with side length
10.
The midpoint of AB is ((A + B)/2) = ((0, 5) + (5, 5))/2 = (2.5, 5).
The midpoint of BC is ((B + C)/2) = ((5, 5) + (5, 0))/2 = (5, 2.5).
The midpoint of CD is ((C + D)/2) = ((5, 0) + (0, 0))/2 = (2.5, 0).
The midpoint of DE is ((D + E)/2) = ((0, 0) + (0, 5))/2 = (0, 2.5).
The midpoint of EF is ((E + F)/2) = ((0, 5) + (-5, 5))/2 = (-2.5, 5).
The midpoint of FG is ((F + G)/2) = ((-5, 5) + (-5, 0))/2 = (-5, 2.5).
The midpoint of GH is ((G + H)/2) = ((-5, 0) + (0, 0))/2 = (-2.5, 0).
The midpoint of HA is ((H + A)/2) = ((0, 0) + (0, 5))/2 = (0, 2.5).
Geometric Center
Difficulty Level: Medium
Solution:
Geometric center
= [(2.5, 5) + (5, 2.5) + (2.5, 0) + (0, 2.5) + (-2.5, 5) + (-5,
2.5) + (-2.5, 0) + (0, 2.5)]/8
= (0, 2.5)
Geometric Center
Difficulty Level: Medium
Explanation:
To find the geometric center of this regular octagon,
we can start by finding the midpoints of each of its
sides. We can use the formula for finding the
midpoint of a line segment, which is ((x1 + x2)/2, (y1 +
y2)/2), where (x1, y1) and (x2, y2) are the coordinates
of the endpoints of the segment.
Geometric Center
Difficulty Level: Medium
Explanation:
Once we have found the midpoints of all eight sides
of the octagon, we can take the average of these
midpoints to find the geometric center. This average
will give us a point that is equidistant from all the
midpoints and therefore lies at the intersection of all
the lines of symmetry of the octagon.
Geometric Center
Difficulty Level: Medium
Explanation:
Using this method, we can calculate that the
geometric center of this regular octagon with side
length 10 is located at the
point (0, 2.5).
Geometric Center
Difficulty Level: Medium

More Related Content

Similar to CMvsGC.pptx

Sec 3.1 measures of center
Sec 3.1 measures of center  Sec 3.1 measures of center
Sec 3.1 measures of center
Long Beach City College
 
Método Topsis - multiple decision makers
Método Topsis  - multiple decision makersMétodo Topsis  - multiple decision makers
Método Topsis - multiple decision makers
LuizOlimpio4
 
Center of Mass
Center of MassCenter of Mass
Center of Mass
MuhammadAhmad1046
 
Time Series Decomposition
Time Series DecompositionTime Series Decomposition
Time Series Decomposition
chandan kumar singh
 
Chapter-V - Copy.pptx
Chapter-V - Copy.pptxChapter-V - Copy.pptx
Chapter-V - Copy.pptx
teseraaddis1
 
01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf
BRNSS Publication Hub
 
01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf
BRNSS Publication Hub
 
Mechanics
MechanicsMechanics
Mechanics
shahzadebaujiti
 
Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...
Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...
Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...
BRNSS Publication Hub
 
G7-quantitative
G7-quantitativeG7-quantitative
G7-quantitative
GillianNguyen
 
Lesson 12 centroid of an area
Lesson 12 centroid of an areaLesson 12 centroid of an area
Lesson 12 centroid of an area
Lawrence De Vera
 
Distance and midpoint notes
Distance and midpoint notesDistance and midpoint notes
Distance and midpoint notes
carolinevest77
 
Presentation1.pptx
Presentation1.pptxPresentation1.pptx
Presentation1.pptx
Abebe334138
 
Understanding Midpoint Calculations.pptx
Understanding Midpoint Calculations.pptxUnderstanding Midpoint Calculations.pptx
Understanding Midpoint Calculations.pptx
scitechenthusiast24
 
Understanding Midpoint Calculations with Examples
Understanding Midpoint Calculations with ExamplesUnderstanding Midpoint Calculations with Examples
Understanding Midpoint Calculations with Examples
scitechenthusiast24
 
Computational Physics - modelling the two-dimensional gravitational problem b...
Computational Physics - modelling the two-dimensional gravitational problem b...Computational Physics - modelling the two-dimensional gravitational problem b...
Computational Physics - modelling the two-dimensional gravitational problem b...
slemarc
 
Statistics
StatisticsStatistics
Basic statistics
Basic statistics Basic statistics
Basic statistics
TilayeMatebe
 
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES   PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
Mazharul Islam
 
Math426_Project3-1
Math426_Project3-1Math426_Project3-1
Math426_Project3-1
Yijun Zhou
 

Similar to CMvsGC.pptx (20)

Sec 3.1 measures of center
Sec 3.1 measures of center  Sec 3.1 measures of center
Sec 3.1 measures of center
 
Método Topsis - multiple decision makers
Método Topsis  - multiple decision makersMétodo Topsis  - multiple decision makers
Método Topsis - multiple decision makers
 
Center of Mass
Center of MassCenter of Mass
Center of Mass
 
Time Series Decomposition
Time Series DecompositionTime Series Decomposition
Time Series Decomposition
 
Chapter-V - Copy.pptx
Chapter-V - Copy.pptxChapter-V - Copy.pptx
Chapter-V - Copy.pptx
 
01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf
 
01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf01_AJMS_18_19_RA.pdf
01_AJMS_18_19_RA.pdf
 
Mechanics
MechanicsMechanics
Mechanics
 
Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...
Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...
Statistical Measures of Location: Mathematical Formulas versus Geometric Appr...
 
G7-quantitative
G7-quantitativeG7-quantitative
G7-quantitative
 
Lesson 12 centroid of an area
Lesson 12 centroid of an areaLesson 12 centroid of an area
Lesson 12 centroid of an area
 
Distance and midpoint notes
Distance and midpoint notesDistance and midpoint notes
Distance and midpoint notes
 
Presentation1.pptx
Presentation1.pptxPresentation1.pptx
Presentation1.pptx
 
Understanding Midpoint Calculations.pptx
Understanding Midpoint Calculations.pptxUnderstanding Midpoint Calculations.pptx
Understanding Midpoint Calculations.pptx
 
Understanding Midpoint Calculations with Examples
Understanding Midpoint Calculations with ExamplesUnderstanding Midpoint Calculations with Examples
Understanding Midpoint Calculations with Examples
 
Computational Physics - modelling the two-dimensional gravitational problem b...
Computational Physics - modelling the two-dimensional gravitational problem b...Computational Physics - modelling the two-dimensional gravitational problem b...
Computational Physics - modelling the two-dimensional gravitational problem b...
 
Statistics
StatisticsStatistics
Statistics
 
Basic statistics
Basic statistics Basic statistics
Basic statistics
 
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES   PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
PRESENTATION ON INTRODUCTION TO SEVERAL VARIABLES AND PARTIAL DERIVATIVES
 
Math426_Project3-1
Math426_Project3-1Math426_Project3-1
Math426_Project3-1
 

Recently uploaded

Heat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation pptHeat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation ppt
mamunhossenbd75
 
CSM Cloud Service Management Presentarion
CSM Cloud Service Management PresentarionCSM Cloud Service Management Presentarion
CSM Cloud Service Management Presentarion
rpskprasana
 
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of contentGenerative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
Hitesh Mohapatra
 
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
thanhdowork
 
Swimming pool mechanical components design.pptx
Swimming pool  mechanical components design.pptxSwimming pool  mechanical components design.pptx
Swimming pool mechanical components design.pptx
yokeleetan1
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
SUTEJAS
 
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdfNew techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
wisnuprabawa3
 
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
awadeshbabu
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
sieving analysis and results interpretation
sieving analysis and results interpretationsieving analysis and results interpretation
sieving analysis and results interpretation
ssuser36d3051
 
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesHarnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Christina Lin
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
nooriasukmaningtyas
 
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
Mukeshwaran Balu
 
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)
ClaraZara1
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
gerogepatton
 
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...
gerogepatton
 
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
MIGUELANGEL966976
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
camseq
 
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
ihlasbinance2003
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
jpsjournal1
 

Recently uploaded (20)

Heat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation pptHeat Resistant Concrete Presentation ppt
Heat Resistant Concrete Presentation ppt
 
CSM Cloud Service Management Presentarion
CSM Cloud Service Management PresentarionCSM Cloud Service Management Presentarion
CSM Cloud Service Management Presentarion
 
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of contentGenerative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
 
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Hori...
 
Swimming pool mechanical components design.pptx
Swimming pool  mechanical components design.pptxSwimming pool  mechanical components design.pptx
Swimming pool mechanical components design.pptx
 
Understanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine LearningUnderstanding Inductive Bias in Machine Learning
Understanding Inductive Bias in Machine Learning
 
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdfNew techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
 
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
[JPP-1] - (JEE 3.0) - Kinematics 1D - 14th May..pdf
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
sieving analysis and results interpretation
sieving analysis and results interpretationsieving analysis and results interpretation
sieving analysis and results interpretation
 
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesHarnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
 
A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...A review on techniques and modelling methodologies used for checking electrom...
A review on techniques and modelling methodologies used for checking electrom...
 
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
ACRP 4-09 Risk Assessment Method to Support Modification of Airfield Separat...
 
6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)6th International Conference on Machine Learning & Applications (CMLA 2024)
6th International Conference on Machine Learning & Applications (CMLA 2024)
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
 
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...
 
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
 
Modelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdfModelagem de um CSTR com reação endotermica.pdf
Modelagem de um CSTR com reação endotermica.pdf
 
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
5214-1693458878915-Unit 6 2023 to 2024 academic year assignment (AutoRecovere...
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
 

CMvsGC.pptx

  • 1. Center of Mass vs Geometric Center A presentation by Group 2
  • 2. Differentiate Center of mass of a system and Geometric Center 01 OBJECTIVE
  • 3. Center of Mass - Is the point where the whole mass of the body/system is concentrated - The point where the gravitational force, weight of the body, acts generally in any orientation of the body
  • 4. Center of Mass It is calculated using the following formula: Center of mass = (m1r1 + m2r2 + ... + mn rn) / (m1 + m2 + ... + mn)
  • 5. Geometric Center or Centroid The geometric center is the point where all the sides or edges of an object intersect or converge.
  • 6. Geometric Center or Centroid It is calculated using the following formula: Geometric center = (x1 + x2 + ... + xn) / n, (y1 + y2 + ... + yn) / n
  • 7. Contents of this template Fonts To view this template correctly in PowerPoint, download and install the fonts we used Used and alternative resources An assortment of graphic resources that are suitable for use in this presentation Thanks slide You must keep it so that proper credits for our design are given Colors All the colors used in this presentation Icons and infographic resources These can be used in the template, and their size and color can be edited Editable presentation theme You can edit the master slides easily. For more info, click here You can delete this slide when you’re done editing the presentation For more info: SLIDESGO | BLOG | FAQS You can visit our sister projects: FREEPIK | FLATICON | STORYSET | WEPIK | VIDEVO
  • 8. Center of Mass vs Geometric Center The center of mass and geometric center may not always coincide. The geometric center is a purely geometric property, whereas the center of mass depends on the mass distribution of the object. The center of mass takes into account the mass of each object and its position, while the geometric center is only based on the position of each point.
  • 9. Center of Mass vs Geometric Center The center of mass is the point in a system where the mass is evenly distributed, and it behaves as if all the mass were concentrated at that point. It takes into account the mass of each object and its position, and it is used in physics and engineering to analyze the motion of systems, such as objects in freefall, projectiles, and collisions.
  • 10. Center of Mass vs Geometric Center On the other hand, the geometric center is the point where all the sides or edges of an object intersect or converge. It is a purely geometric property, and it is used in design, architecture, and graphics to locate the position of an object, such as a shape, a building, or an image.
  • 11. Center of Mass vs Geometric Center While the center of mass depends on the mass distribution of the object, the geometric center is only based on the position of each point or edge. Therefore, the center of mass and geometric center may not always coincide.
  • 13. Find the center of mass of a system of two masses: 2 kg located at (1,1) and 3 kg located at (5,3). Center of Mass Difficulty Level: Easy
  • 14. Solution: Center of mass = (2(1,1) + 3(5,3)) / (2+3) = (4,2.2) Center of Mass Difficulty Level: Easy
  • 15. Explanation: In this case, we have a system of two masses, one of 2 kg at point (1,1) and the other of 3 kg at point (5,3). To find the center of mass, we need to use the formula: Center of mass = (m1r1 + m2r2) / (m1 + m2) where m is the mass of each object and r is the position vector of each object. Center of Mass Difficulty Level: Easy
  • 16. Explanation: Substituting the given values, we get: Center of mass = (2(1,1) + 3(5,3)) / (2+3) = (2, 2) + (15, 9) / 5 = (17, 11) / 5 = (3.4, 2.2) Therefore, the center of mass of the system of two masses is located at (3.4, 2.2). Center of Mass Difficulty Level: Easy
  • 17. Find the geometric center of a rectangle with vertices at (0,0), (0,4), (6,4), and (6,0). Geometric Center Difficulty Level: Easy
  • 18. Solution: Geometric center = (0+0+6+6)/4, (0+4+4+0)/4 = (3,2) Geometric Center Difficulty Level: Easy
  • 19. Explanation: In this case, the opposite corners of the rectangle are (0,0) and (6,4), and (0,4) and (6,0). To find the geometric center, we take the average of the x-coordinates of the corners and the average of the y-coordinates of the corners separately. Geometric Center Difficulty Level: Easy
  • 20. Explanation: The average of the x-coordinates is (0+0+6+6)/4 = 3, and the average of the y- coordinates is (0+4+4+0)/4 = 2. Therefore, the geometric center of the rectangle is located at (3, 2). Geometric Center Difficulty Level: Easy
  • 21. Find the center of mass of a system of four masses: 2 kg located at (0,0), 4 kg located at (4,0), 6 kg located at (4,3), and 8 kg located at (0,3). Center of Mass Difficulty Level: Medium
  • 22. Explanation: In this case, we have a system of four masses, each with a different mass and position. To find the center of mass, we need to use the formula: Center of mass = (m1r1 + m2r2 + m3r3 + m4r4) / (m1 + m2 + m3 + m4) where m is the mass of each object and r is the position vector of each object. Center of Mass Difficulty Level: Medium
  • 23. Explanation: Substituting the given values, we get: Center of mass = (2(0,0) + 4(4,0) + 6(4,3) + 8(0,3)) / (2+4+6+8) = (0, 0) + (16, 0) + (24, 18) + (0, 24) / 20 = (40, 42) / 20 = (3.2, 1.8) Therefore, the center of mass of the system of four masses is located at (3.2, 1.8). Center of Mass Difficulty Level: Medium
  • 24. Find the geometric center of a regular octagon with side length 10. The midpoint of AB is ((A + B)/2) = ((0, 5) + (5, 5))/2 = (2.5, 5). The midpoint of BC is ((B + C)/2) = ((5, 5) + (5, 0))/2 = (5, 2.5). The midpoint of CD is ((C + D)/2) = ((5, 0) + (0, 0))/2 = (2.5, 0). The midpoint of DE is ((D + E)/2) = ((0, 0) + (0, 5))/2 = (0, 2.5). The midpoint of EF is ((E + F)/2) = ((0, 5) + (-5, 5))/2 = (-2.5, 5). The midpoint of FG is ((F + G)/2) = ((-5, 5) + (-5, 0))/2 = (-5, 2.5). The midpoint of GH is ((G + H)/2) = ((-5, 0) + (0, 0))/2 = (-2.5, 0). The midpoint of HA is ((H + A)/2) = ((0, 0) + (0, 5))/2 = (0, 2.5). Geometric Center Difficulty Level: Medium
  • 25. Solution: Geometric center = [(2.5, 5) + (5, 2.5) + (2.5, 0) + (0, 2.5) + (-2.5, 5) + (-5, 2.5) + (-2.5, 0) + (0, 2.5)]/8 = (0, 2.5) Geometric Center Difficulty Level: Medium
  • 26. Explanation: To find the geometric center of this regular octagon, we can start by finding the midpoints of each of its sides. We can use the formula for finding the midpoint of a line segment, which is ((x1 + x2)/2, (y1 + y2)/2), where (x1, y1) and (x2, y2) are the coordinates of the endpoints of the segment. Geometric Center Difficulty Level: Medium
  • 27. Explanation: Once we have found the midpoints of all eight sides of the octagon, we can take the average of these midpoints to find the geometric center. This average will give us a point that is equidistant from all the midpoints and therefore lies at the intersection of all the lines of symmetry of the octagon. Geometric Center Difficulty Level: Medium
  • 28. Explanation: Using this method, we can calculate that the geometric center of this regular octagon with side length 10 is located at the point (0, 2.5). Geometric Center Difficulty Level: Medium

Editor's Notes

  1. Where m is the mass of each object and r is the position vector of each object.
  2. Where x and y are the coordinates of each point and n is the total number of points.
  3. The problem asks us to find the geometric center of a regular octagon with side length 10. To understand what that means, we need to know what a regular octagon is and what a geometric center is. A regular octagon is a polygon with eight sides of equal length and eight angles of equal measure. It looks like a stop sign, but with more sides. The side length of this particular octagon is given as 10. The geometric center of a shape is the point at which all the lines of symmetry intersect. This means that if we fold the shape along all its lines of symmetry, the geometric center will be the point where all the folds intersect.
  4. The problem asks us to find the geometric center of a regular octagon with side length 10. To understand what that means, we need to know what a regular octagon is and what a geometric center is. A regular octagon is a polygon with eight sides of equal length and eight angles of equal measure. It looks like a stop sign, but with more sides. The side length of this particular octagon is given as 10. The geometric center of a shape is the point at which all the lines of symmetry intersect. This means that if we fold the shape along all its lines of symmetry, the geometric center will be the point where all the folds intersect.
  5. The problem asks us to find the geometric center of a regular octagon with side length 10. To understand what that means, we need to know what a regular octagon is and what a geometric center is. A regular octagon is a polygon with eight sides of equal length and eight angles of equal measure. It looks like a stop sign, but with more sides. The side length of this particular octagon is given as 10. The geometric center of a shape is the point at which all the lines of symmetry intersect. This means that if we fold the shape along all its lines of symmetry, the geometric center will be the point where all the folds intersect.