1D Mechanical Systems

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Start of Presentation Mathematical Modeling of Physical Systems © Prof. Dr. François E. Cellier September 20, 2012 1D Mechanical Systems • In this lecture, we shall deal with 1D mechanical systems that can either translate or rotate in a one-dimensional space. • We shall demonstrate the similarities between the mathematical descriptions of these systems and the electrical circuits discussed in the previous lecture. • In particular, it will be shown that the symbolic formulae manipulation algorithms (sorting algorithms) that were introduced in the previous lecture can be applied to these systems just as easily and without any modification.

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In this lecture, we shall deal with 1D mechanical systems that can either translate or rotate in a one-dimensional space. We shall demonstrate the similarities between the mathematical descriptions of these systems and the electrical circuits discussed in the previous lecture. - PowerPoint PPT Presentation

Transcript of 1D Mechanical Systems

Page 1: 1D Mechanical Systems

Start of Presentation

Mathematical Modeling of Physical Systems

© Prof. Dr. François E. CellierSeptember 20, 2012

1D Mechanical Systems

• In this lecture, we shall deal with 1D mechanical systems that can either translate or rotate in a one-dimensional space.

• We shall demonstrate the similarities between the mathematical descriptions of these systems and the electrical circuits discussed in the previous lecture.

• In particular, it will be shown that the symbolic formulae manipulation algorithms (sorting algorithms) that were introduced in the previous lecture can be applied to these systems just as easily and without any modification.

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Table of Contents

• Linear components of translation

• Linear components of rotation

• The D’Alembert principle

• Example of a translational system

• Horizontal sorting

September 20, 2012

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Linear Components of Translation

• Mass

• Friction

• Spring

m·a = (fi )idvdt = a

dxdt = v

Bf v1 fv2

f = B·(v1 – v2 )B

f x1 fx2k

f = k·(x1 – x2 )

mf1

f2

f3

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Linear Components of Rotation

• Inertia

• Friction

• Spring

J· = (i )iddt = ddt =

J 1 2

B

= B·(1 – 2 )

k = k·( 1 – 2 )

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Joints without Degrees of Freedom

• Node (Translation)

• Node (Rotation)

xa = x b = x c

fa + f b + f c = 0

va = v b = v c

aa = a b = a c

a = b = c

a + b + c = 0

a = b = c

a = b = c

xa xbf a fb

xc

f c

a ba b

c

c

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Joints with One Degree of Freedom

• Prismatic

• Cylindrical

• Scissors

x1 x2x1 x2

y1 = y2

1 = 2

1 2

x1 = x2

y1 = y2

1 2

1 2

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

The D’Alembert Principle

• By introduction of an inertial force:

the second law of Newton:

can be converted to a law of the form:

fm = - m·a

m·a = (fi )i

(fi ) = 0i

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Sign Conventions

d(m·v)dtfm = +

fk = + k·(x – xNeighbor )

fB = + B·(v – vNeighbor )

x

mfm

fkfB

x

mfm

fkfB

d(m·v)dtfm = -

fk = - k·(x – xNeighbor )

fB = - B·(v – vNeighbor )

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

1. Example (Translation)

Topological View

Network View

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

1. Example (Translation) II

The system is being cut open between the individual masses, and cutting forces are introduced.

The D’Alembert principle can now be applied to each body separately.

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

1. Example (continued)

F(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2September 20, 2012

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Horizontal Sorting IF(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

F(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Horizontal Sorting IIF(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

F(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Horizontal Sorting IIIF(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

F(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Horizontal Sorting IVF(t) = FI3 + FBa + FBb

FBa = FI2 + FBc + FB2 + Fk2

FBb + FB2 = FI1 + FBd + Fk1

FI1 = m1·dv1

dtdx1

dt= v1

FI2 = m2·dv2

dtdx2

dt= v2

FI3 = m3·dv3

dtdx3

dt= v3

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

FI3 = F(t) - FBa - FBb

FI2 = FBa - FBc - FB2 - Fk2

FI1 = FBb + FB2 - FBd - Fk1

= FI1 / m1

dv1

dtdx1

dt= v1

FBa = B1· (v3 – v2 )

FBb = B1· (v3 – v1 )

FBc = B1· v2

FBd = B1· v1

FB2 = B2· (v2 – v1 )

Fk1 = k1· x1

Fk2 = k2· x2

= FI2 / m2

dv2

dtdx2

dt= v2

= FI3 / m3

dv3

dtdx3

dt= v3

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

Sorting Algorithm

• The sorting algorithm operates exactly in the same way as for electrical circuits. It is totally independent of the application domain.

September 20, 2012

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Mathematical Modeling of Physical Systems

© Prof. Dr. François E. Cellier

References

• Cellier, F.E. (1991), Continuous System Modeling, Springer-Verlag, New York, Chapter 4.

September 20, 2012