How do you calculate the average force on a piston?

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Discussion Overview

The discussion revolves around calculating the average force on a piston during its stroke from Top Dead Center (TDC) to Bottom Dead Center (BDC). Participants explore various methods for averaging forces based on given data points, including statistical approaches and polynomial integration.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested, Mathematical reasoning

Main Points Raised

  • One participant presents a series of force measurements at various distances from TDC and expresses confusion about how to calculate the average force.
  • Another participant suggests that the sample should not extend beyond BDC and proposes using polynomial fitting and integration to find the average force.
  • A participant mentions that the force at BDC is negligible and provides additional force measurements for distances beyond the initial data.
  • One participant proposes a statistical approach to calculate the mean force and discusses the implications of partitioning intervals for averaging.
  • Another participant shares a polynomial equation derived from the data and calculates the area under the curve to estimate the average force, comparing it to a simple average.
  • There is a suggestion to use linear approximation for missing data points and mention of various numerical integration methods to estimate the integral of the force function.
  • Participants discuss the relevance of effective averages and the impact of specific measurements on the overall calculation, particularly regarding the force at TDC.
  • One participant notes that established methods exist for analyzing engine behavior and asks for clarification on the overall goal of the calculations.

Areas of Agreement / Disagreement

Participants express differing views on the best method to calculate the average force, with no consensus reached on a single approach. There are multiple competing ideas regarding the treatment of data points and the integration methods to be used.

Contextual Notes

Some participants highlight the need for additional measurements and the potential inaccuracies in averaging methods, particularly concerning the weight given to the force at TDC. The discussion includes various assumptions about the behavior of forces throughout the piston stroke.

Who May Find This Useful

Individuals interested in piston dynamics, engine mechanics, and statistical methods for data analysis may find this discussion relevant.

KitsonSteam22
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1. How do you calculate the average force on a piston in one stroke from TDC to BDC given the following Kg forces and their distances in mm from TDC?

1 mm 2 mm 3 mm 4 mm 5 mm 6 mm 7 mm 8 mm 9 mm 10 mm 12 mm 13 mm
9.9 Kg 7.8 Kg 6.3 Kg 5.3 Kg 4.4 Kg 3.8 Kg 3.2 Kg 2.8 Kg 2.4 Kg 2.1 Kg 1.6 Kg 1.4 Kg14 mm 15 mm 16 mm
1.3 Kg 1.1 Kg 1 Kg

2. I am absolutely blank.3. Tried a sample average, but as the sample increases so the average drops.
 
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Hello Kitson, :welcome:

Surely you can't let the sample increase further than the BDC ?
TDC is at 0, but what is the stroke length ?
You could let excel fit a polynomial and integrate, but you still need the BDC position.

upload_2016-7-12_19-26-47.png
 
Hey BVU
Correct, any force still around at BDC is waste.
BDC is 30 mm and the force is 0.2 Kg so insignificant. I did not put the last figures in because they are easy to include once I understand the solution.
I'm old school, pensioner, specialized in rotor dynamics and balancing so very grey in this area.
Total stroke is 31 mm.

Regards
 
Here are the rest of the distances and forces:
17 mm 18 mm 19 mm 20 mm 21 mm 22 mm 23 mm 24 mm 25 mm 26 mm 27 mm 28 mm 28 mm 29 mm 30 mm
0.9 Kg 0.8 Kg 0.7 Kg 0.6 0.6 Kg 0.5 Kg 0.5 Kg 0.4 Kg 0.4 Kg 0.3 Kg 0.3 Kg 0.3 Kg 0.3 Kg 0.2 Kg 0.2 Kg
 
Try statistical approach.

Suppose x ∈ [a, b], and the interval [a, b] is partitioned into n subintervals, each of length ∆x = (b – a)/n, so that n = (b – a)/∆x. Then, the mean of f(x) is reasonably well approximated as
$$\mu = \frac{\sum_{i=1}^{n}f(x_i)}{n}$$
 
I had fun going through this:
upload_2016-7-13_1-29-18.png


A 6th order (bit much..) polynomial (the red line) gave
y = -0.00000408x5 + 0.00038121x4 - 0.01390910x3 + 0.25371572x2 - 2.47577020x + 11.96556136

Integrating from 0 to 31 gives the area under the red curve
A = -0.00000408x6/6 + 0.00038121x5/5 - 0.01390910x4/4 + 0.25371572x3/3 - 2.47577020x2/2 + 11.96556136x with x = 31 that gives an average of 68.7/31 = 2.22 (if I didn't make any typos...)

A simple average gives 2.05

If you add an extra measurement at TDC of 12 kg, then a direct average gives 2.29.

However, this gives too much weight to that TDC point (it is an estimate for 0-0.5 mm, the measured 10 kg is for 0.5 to 1.5 mm) so a better estimate is to give that point half the weight of the others:

(sum of measurements + 12/2)/30.5 = (61.4+6)/30.5 = 2.21

(close to the integral value)
 
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Irene Kaminkowa said:
Try statistical approach.

Suppose x ∈ [a, b], and the interval [a, b] is partitioned into n subintervals, each of length ∆x = (b – a)/n, so that n = (b – a)/∆x. Then, the mean of f(x) is reasonably well approximated as
$$\mu = \frac{\sum_{i=1}^{n}f(x_i)}{n}$$
Hi Irene

I like your suggestion, the last time I did stats was in the 1980s. I would be interested to see the result if you ran the figures. Con't stop thinking that an effective average would give a more accurate result. A bit like the rifle bullet accelerating down a barrel, versus a shotgun coasting down the barrel. The rifle having the slower burning propellant??
 
KitsonSteam22, if you chose statistics, do not forget to calculate f(11), since it's omitted. Use linear approximation: f(11) = (f(10) + f(12) )/ 2

There are also methods to find the integral by the points given: method of left(right) rectangles, method of trapezoids, Simpson's method and many others.
https://en.wikipedia.org/wiki/Rectangle_method
https://en.wikipedia.org/wiki/Trapezoidal_rule
https://en.wikipedia.org/wiki/Simpson's_rule
http://pages.cs.wisc.edu/~amos/412/lecture-notes/lecture18.pdf
 
BvU said:
I had fun going through this:
View attachment 103129

A 6th order (bit much..) polynomial (the red line) gave
y = -0.00000408x5 + 0.00038121x4 - 0.01390910x3 + 0.25371572x2 - 2.47577020x + 11.96556136

Integrating from 0 to 31 gives the area under the red curve
A = -0.00000408x6/6 + 0.00038121x5/5 - 0.01390910x4/4 + 0.25371572x3/3 - 2.47577020x2/2 + 11.96556136x with x = 31 that gives an average of 68.7/31 = 2.22 (if I didn't make any typos...)

A simple average gives 2.05

If you add an extra measurement at TDC of 12 kg, then a direct average gives 2.29.

However, this gives too much weight to that TDC point (it is an estimate for 0-0.5 mm, the measured 10 kg is for 0.5 to 1.5 mm) so a better estimate is to give that point half the weight of the others:

(sum of measurements + 12/2)/30.5 = (61.4+6)/30.5 = 2.21

(close to the integral value)

Hey BvU

Thanks, (Have a look at what I said to Irene's reply). There's defiantly weight in what you said about adding an extra measurement at TDC. In an engine, the firing occurs a couple of degrees before TDC (varies from manufacturer), a force is applied to the piston which can't go any where during the dwell angle, the potential energy then becomes kinetic energy as the piston clears the dwell angle (crank momentum). Maybe this is for somebody with more than the two brain cells that I have. I think you onto something I haven't read about.
Back to the average, I think looking at an effective average might give a better result.

regards
 
  • #10
There are well established methods for analysing what happens in an engine .

Can you tell us more generally what you are trying to understand or calculate ?
 
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