Flow-detection experimental record and bench tooling

Adds the design matrix and its supporting tools, and records in BRINGUP
what the 60-run matrix overturned: sub-40-percent duty mimics flow
(three of five dead-pump trials looked healthier than a working pump),
the operating point and threshold now rest on 25 pooled observations,
periodic re-checks are thermally free with the fans running, and the
settle gate closes a bench-proven miss. Also records what is NOT yet
validated - warm-loop baselines and behaviour under laser heating - as
first-light commissioning items.
This commit is contained in:
ScottW514
2026-08-02 23:51:31 -04:00
parent 8fa10f7b28
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#!/usr/bin/env python3
"""Characterize a SHORT periodic flow re-check for use DURING a job.
Why a separate design from the job-start check: with the laser firing
and coolant flowing, tube heat raises BOTH sensors, inflating a plain
downstream-rise metric toward a false fault. With the pump stopped that
heat never reaches the sensors at all (stagnant loop), so the no-flow
signature stays at its idle value. The two signatures therefore
converge during a cut. The differential rise
(downstream_end - downstream_start) - (upstream_end - upstream_start)
cancels that common-mode heating and is the metric this measures.
TWO DEAD ENDS, recorded so they are not re-invented:
1. Absolute over-temperature does NOT detect a failed pump. The
sensors read the water at their own location; with no circulation
the tube's heat stays in the tube and never reaches them. The loop
can read perfectly comfortable while the tube cooks. Over-temp
monitoring detects a hot CIRCULATING loop - a different failure.
2. "The coolant should warm up while cutting" is NOT a usable
indicator either. A low-duty engrave (say 5% duty at 30% power) can
put so little heat in that the cooling system absorbs it with no
measurable rise, so a flat trend is equally consistent with a light
load working correctly and with a dead pump. Ambiguous evidence is
worse than none - it invites false confidence.
Hence: periodic ACTIVE interrogation with the heater, which creates a
known stimulus instead of waiting for one, is the only valid method on
this hardware (there is no pump tach or pump current sense anywhere in
the machine).
Usage: flow_recheck_char.py [heater_pct] [window_s] (default 50 30)
Runs both flow and no-flow cases from a comparable loop state and
prints the differential separation. Aborts if downstream passes 45 C.
"""
import math
import subprocess
import sys
import time
HOST = '172.16.1.97'
F = 1024.0 * 1.3
RD, BETA = 10000.0, 3380.0
RINF = 10000.0 * math.exp(-3380.0 / 298.15)
DOWN_ABORT_C = 45.0
def degc(raw):
r = RD / (F / raw - 1.0)
return BETA / math.log(r / RINF) - 273.15
def board(cmd):
r = subprocess.run(['wsl', '-d', 'forge-yocto', '--', 'ssh',
'-o', 'PreferredAuthentications=none',
'root@' + HOST, cmd],
capture_output=True, text=True, timeout=30)
return r.stdout.strip()
def sample():
o = board('cat /sys/glowforge/pic/water_temp_1 /sys/glowforge/pic/water_temp_2').split()
return degc(int(o[0])), degc(int(o[1]))
def settle(seconds=100):
board('echo 1 > /sys/glowforge/thermal/water_pump_on; echo 0 > /sys/glowforge/thermal/heater_pwm')
time.sleep(seconds)
def check(tag, pump_on, pct, window):
board('echo %d > /sys/glowforge/thermal/water_pump_on' % (1 if pump_on else 0))
time.sleep(2)
d0, u0 = sample()
board('echo %d > /sys/glowforge/thermal/heater_pwm' % int(65535 * pct / 100))
t0 = time.time()
d, u = d0, u0
while time.time() - t0 < window:
time.sleep(5)
d, u = sample()
print(' %-8s t=%2.0fs down=%5.2f (%+5.2f) up=%5.2f (%+5.2f) diff=%+5.2f'
% (tag, time.time() - t0, d, d - d0, u, u - u0, (d - d0) - (u - u0)), flush=True)
if d >= DOWN_ABORT_C:
print(' abort: downstream at safety limit', flush=True)
break
board('echo 0 > /sys/glowforge/thermal/heater_pwm; echo 1 > /sys/glowforge/thermal/water_pump_on')
return (d - d0) - (u - u0), d - d0
pct = int(sys.argv[1]) if len(sys.argv) > 1 else 50
window = int(sys.argv[2]) if len(sys.argv) > 2 else 30
print('=== periodic re-check characterization: %d%% heater, %d s window' % (pct, window))
settle()
print(' flow case:')
flow_diff, flow_rise = check('flow', True, pct, window)
settle()
print(' no-flow case:')
noflow_diff, noflow_rise = check('noflow', False, pct, window)
settle(60)
print()
print('differential rise: flow %+.2f no-flow %+.2f separation %.2f C'
% (flow_diff, noflow_diff, noflow_diff - flow_diff))
print('plain down rise: flow %+.2f no-flow %+.2f separation %.2f C'
% (flow_rise, noflow_rise, noflow_rise - flow_rise))
print('suggested differential threshold: %.2f C' % ((flow_diff + noflow_diff) / 2))