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there are two element of forces acting the orthogonal cutting they are cutting forces & feed force

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What is difference between orthogonal cutting and oblique cutting?

orthogonal cutting is a 2D cutting having 2 forces i.e cutting force and feed force where as oblique cutting is a 3D cutting having additional force i.e radial or passive force.


Is drilling a orthogonal cutting?

yes


How do you divided or cut the third dimension?

It depends on what material you are cutting of course but in abstraction simple follow a line that is orthogonal to both the first and second dimensions.


What is the definition of orthogonal signal space?

Orthogonal signal space is defined as the set of orthogonal functions, which are complete. In orthogonal vector space any vector can be represented by orthogonal vectors provided they are complete.Thus, in similar manner any signal can be represented by a set of orthogonal functions which are complete.


Can the difference of 2 vectors be orthogonal?

The answer will depend on orthogonal to WHAT!


What is the orthogonal planning in ancient Greece?

it is planning of orthogonal planning


When was Orthogonal - novel - created?

Orthogonal - novel - was created in 2011.


What is orthogonal planning in ancient Greece?

it is planning of orthogonal planning


Self orthogonal trajectories?

a family of curves whose family of orthogonal trajectories is the same as the given family, is called self orthogonal trajectories.


How do you use Orthogonal in a sentence?

Orthogonal is a term referring to something containing right angles. An example sentence would be: That big rectangle is orthogonal.


What has the author Richard Askey written?

Richard Askey has written: 'Three notes on orthogonal polynomials' -- subject(s): Orthogonal polynomials 'Recurrence relations, continued fractions, and orthogonal polynomials' -- subject(s): Continued fractions, Distribution (Probability theory), Orthogonal polynomials 'Orthogonal polynomials and special functions' -- subject(s): Orthogonal polynomials, Special Functions


Prove that the product of two orthogonal matrices is orthogonal and so is the inverse of an orthogonal matrix What does this mean in terms of rotations?

To prove that the product of two orthogonal matrices ( A ) and ( B ) is orthogonal, we can show that ( (AB)^T(AB) = B^TA^TA = B^T I B = I ), which confirms that ( AB ) is orthogonal. Similarly, the inverse of an orthogonal matrix ( A ) is ( A^{-1} = A^T ), and thus ( (A^{-1})^T A^{-1} = AA^T = I ), proving that ( A^{-1} ) is also orthogonal. In terms of rotations, this means that the combination of two rotations (represented by orthogonal matrices) results in another rotation, and that rotating back (inverting) maintains orthogonality, preserving the geometric properties of rotations in space.