Bifilar pancake coil overunity experiment

[ayeaye]

Here is a CSV text file generated by a Tek MDO3034.

Now the output of the Inkscape script and the input of the calculation script are CSV, in the format that digital oscilloscopes, such as Tektronix, output. Inkscape script.

#Time between samples in ns
XU = 0.4
XU *= 1e-9
#Channels 1 and 2 voltage scales in V
YU1 = 2.0
YU2 = 0.2
#Scale is 50 units
YU1 /= 50
YU2 /= 50

def next(separator):
  global pos
  begin = pos + 1
  pos = path.find(separator, begin)
  if (pos == -1): pos = len(path)
  return int(round(float(path[begin : pos])))

def pathtolist(list, YU):
  global pos
  pos = 0
  segments = []
  next(",")
  next(" ")
  segments.append([0, 0, 0, 0])
  while (True):
    x = segments[-1][0] + abs(next(","))
    y = segments[-1][1] - next(" ")
    segments[-1][2] = x
    segments[-1][3] = y
    if (pos == len(path)): break
    segments.append([x, y, 0, 0])
  n = 0
  for j in range(segments[-1][2]):
    while (j >= segments[n][2]): n += 1
    lx = segments[n][2] - segments[n][0]
    ly = segments[n][3] - segments[n][1]
    ratio = float(j - segments[n][0]) / lx
    v = (segments[n][1] + int(round(ly * ratio))) * YU
    list.append(v)

pos = 0
path = ""
f = open("input.txt")
for s in f:
  begin = s.find("d=\"m ")
  if (begin == -1): continue
  begin = s.find(" ", begin)
  end = s.find("\"", begin)
  path = s[begin : end]
  break
f.close()
list1 = []
pathtolist(list1, YU1)

pos = 0
path = ""
f = open("input.txt")
for s in f:
  begin = s.find("d=\"m ")
  if (begin == -1): continue
  begin = s.find(" ", begin)
  end = s.find("\"", begin)
  path = s[begin : end]
f.close()
list2 = []
pathtolist(list2, YU2)

length = min(len(list1), len(list2))
for j in range(1, length):
  s = "%1.3E" % (j * XU) + "," + str(list1[j]) + "," + str(list2[j])
  print(s)

Trinket.

https://trinket.io/python/e18f3511dd

Power calculation script.

#Resistor resistance in ohms
R = 47.0
#Frequency in Hz
F = 1000.0
#Voltages are in mV, time is in ms

def next(separator):
  global pos
  begin = pos + 1
  pos = csv.find(separator, begin)
  if (pos == -1): pos = len(csv)
  return float(csv[begin : pos])

csv = ""
pos = n = 0
xu = ei = eo = 0.0
f = open("input.txt")
while (True):
  s = f.readline()
  if (len(s) < 1): break
  csv = s.strip()
  if (len(csv) == 0): continue
  if (csv[0] != "-" and not csv[0].isdigit()): continue
  pos = -1
  t = next(",") * 1000000
  if (n == 0): xu = t
  if (n == 1): xu = t - xu
  n += 1
  vs = next(",") * 1000
  vr = next(",") * 1000
  vl = vs - vr
  pl = vl * vr / R / 1000
  if (pl >= 0): ei += pl
  if (pl < 0): eo += pl
f.close()
ei *= xu
print("Input power was %.4f uW" % (F * ei))
eo *= -1 * xu
print("Output power was %.4f uW" % (F * eo))

Trinket.

https://trinket.io/python/15c05ead0c

Partzman, BTW, your data is about what? It gave the results, input power 5.6 W, output power 23.4 W, looks like overunity, or what is it? I calculated assuming the circuit, coil and resistor in series, and that the resistor was 47 ohms, if it differs, then the results may not have any meaning.

[onepower]

AyeAye
Interesting posts.

Words and numbers are just words and numbers until they induce a thought or idea at which point they become something else. I often wonder why so many have such a limited perspective of electrodynamics... why limit it?. We could just as easily say an Emf is a signal, a current a transmission and any dissipative circuit elements a receiver. We should also note that as many have said in the past, we can take mechanical and electric analogies literally.

That is we know a particle cannot act on another particle directly but only through a field indirectly. Thus every force including an Emf must constitute a transmission of energy by way of a field. Unfortunately many ignore the field or delegate it to some unimportant spooky action at a distance.

In the past I also looked at the notion of electro-magnetic phenomena as a signal transmission which conveys information through fields from a computational perspective. Assigning the equivalent of logic gate functions to all the discrete phenomena we see in electrodynamics. For example Lenz Law is a NOT gate or inverter with respect to an induced magnetic field change. An XNOR logic gate translates to field coupling and whether an external field is present and can act on something or not. So we build truth tables to represent all the electro-magnetic functions and at some point we find the electro-dynamic realities we know can be represented by form of software. All one has to do is look at the humble beginnings of the logic gate and how far we have taken it in computing to see the potential.

When we start looking at the big picture from many other alternate perspectives we can often learn many new things. Who could have predicted that a simple logic function in punch cards could have created the automated world we know today let alone Artificial Intelligence. It is very strange isn't it?. It begs the question... if AI which may soon surpass our understanding of things was born from the simple relationship between patterns of "1's" and a "0's" then how far can we take electro-dynamics?.

The trick, I have found, is not to get too bogged down by underachievers or those with business interests. Do your own thing, have some fun with it, imagine the possibilities. Our goal was never to lower ourselves to that level but to rise above it and we cannot take them with us. limited seating capacity...

[ayeaye]

Onepower, what is a field? Space is a grid, in the grid, the nodes cannot interact directly. The way to do it, is to send quanta, that way one particle "finds" another. You may call it digital, it's not a computer though, the matter is that it's a grid. But it's certainly discrete.

What is the Lenz law, it's that everything causes an opposite reaction. And it's because everything protects its integrity. Like you step on the rake, it hits you, it's because rake maintains its integrity.

[ayeaye]

Better? Inkscape script for analog oscilloscopes that outputs waveform data in the same CSV format as Tektronix and other digital scopes.

#Time between samples in ns
XU = 0.4
XU *= 1e-9
#Channels 1 and 2 voltage scales in V
YU1 = 2.0
YU2 = 0.2
#Scale is 50 units
YU1 /= 50
YU2 /= 50

def next(separator):
  global pos
  begin = pos + 1
  pos = path.find(separator, begin)
  if (pos == -1): pos = len(path)
  return int(round(float(path[begin : pos])))

def pathtolist(list, YU):
  global pos
  pos = 0
  segments = []
  next(",")
  next(" ")
  segments.append([0, 0, 0, 0])
  while (True):
    x = segments[-1][0] + abs(next(","))
    y = segments[-1][1] - next(" ")
    segments[-1][2] = x
    segments[-1][3] = y
    if (pos == len(path)): break
    segments.append([x, y, 0, 0])
  n = 0
  for j in range(segments[-1][2]):
    while (j >= segments[n][2]): n += 1
    lx = segments[n][2] - segments[n][0]
    ly = segments[n][3] - segments[n][1]
    ratio = float(j - segments[n][0]) / lx
    v = segments[n][1] + int(round(ly * ratio))
    list.append(v * YU)

pos = 0
path = ""
f = open("input.txt")
for s in f:
  begin = s.find("d=\"m ")
  if (begin == -1): continue
  begin = s.find(" ", begin)
  end = s.find("\"", begin)
  path = s[begin : end]
  break
f.close()
list1 = []
pathtolist(list1, YU1)

pos = 0
path = ""
f = open("input.txt")
for s in f:
  begin = s.find("d=\"m ")
  if (begin == -1): continue
  begin = s.find(" ", begin)
  end = s.find("\"", begin)
  path = s[begin : end]
f.close()
list2 = []
pathtolist(list2, YU2)

length = min(len(list1), len(list2))
for j in range(1, length):
  s = "%1.3E" % ((j - 1) * XU) + ","
  s += str(list1[j]) + "," + str(list2[j])
  print(s)

Trinket.

https://trinket.io/python/31538962f0

Again the first point of both paths determines their x axis and the beginning of the x axis for both paths. And it doesn't matter at all where these paths are drawn or what is their location relative to each other. It only matters that channel 1 path is drawn first and channel 2 path is drawn second.

[partzman]

Now the output of the Inkscape script and the input of the calculation script are CSV, in the format that digital oscilloscopes, such as Tektronix, output. Inkscape script.

Trinket.

https://trinket.io/python/e18f3511dd

Power calculation script.

Trinket.

https://trinket.io/python/15c05ead0c

Partzman, BTW, your data is about what? It gave the results, input power 5.6 W, output power 23.4 W, looks like overunity, or what is it? I calculated assuming the circuit, coil and resistor in series, and that the resistor was 47 ohms, if it differs, then the results may not have any meaning.

Those test results were taken from a voltage driven T225-26B powdered iron toroid with a bifilar litz winding.  The Math channel indicated the energy in one of the windings over time and the "Inductance" was calculated in Excel.  The second bilfilar winding had one end connected to ground with the correct dot polarity that allowed the first winding to discharge it's energy thru the distributed capacitance between said windings producing the voltage waveform in CH2(blu).  There was no additional resistance other than the wiring, mosfet switching loss, and coil resistance of 1.15 ohms.

Pm