Mass Removal Rate Calculator

Calculate Mass Removal Rate







Formula

The formula to calculate Mass Removal Rate is:

\[ \text{MRR} = \frac{W \cdot I}{n \cdot 96500} \]

Definition

Mass Removal Rate is the amount of mass removed per unit time while performing the operations of machinery. Weight is a body's relative mass or the quantity of matter contained by it. Current Magnitude is the magnitude of the rate of flow of charged particles. Valency is the combining capacity of an atom.

Example Calculation

Let's assume the following values:

Using the formula:

\[ \text{MRR} = \frac{60 \cdot 988.6}{0.5 \cdot 96500} \approx 1.22934715025907 \]

The Mass Removal Rate is approximately 1.22934715025907 Kilogram.

Conversion Chart

Weight (Kilogram) Current Magnitude (Ampere) Valency Mass Removal Rate (Kilogram)
50 900 0.4 1.165803108808
50 900 0.5 0.932642487047
50 900 0.6 0.777202072539
50 910 0.4 1.178756476684
50 910 0.5 0.943005181347
50 910 0.6 0.785837651123
50 920 0.4 1.191709844560
50 920 0.5 0.953367875648
50 920 0.6 0.794473229706
50 930 0.4 1.204663212435
50 930 0.5 0.963730569948
50 930 0.6 0.803108808290
50 940 0.4 1.217616580311
50 940 0.5 0.974093264249
50 940 0.6 0.811744386874
50 950 0.4 1.230569948187
50 950 0.5 0.984455958549
50 950 0.6 0.820379965458
50 960 0.4 1.243523316062
50 960 0.5 0.994818652850
50 960 0.6 0.829015544041
50 970 0.4 1.256476683938
50 970 0.5 1.005181347150
50 970 0.6 0.837651122625
50 980 0.4 1.269430051813
50 980 0.5 1.015544041451
50 980 0.6 0.846286701209
50 990 0.4 1.282383419689
50 990 0.5 1.025906735751
50 990 0.6 0.854922279793
50 1000 0.4 1.295336787565
50 1000 0.5 1.036269430052
50 1000 0.6 0.863557858377
52 900 0.4 1.212435233161
52 900 0.5 0.969948186528
52 900 0.6 0.808290155440
52 910 0.4 1.225906735751
52 910 0.5 0.980725388601
52 910 0.6 0.817271157168
52 920 0.4 1.239378238342
52 920 0.5 0.991502590674
52 920 0.6 0.826252158895
52 930 0.4 1.252849740933
52 930 0.5 1.002279792746
52 930 0.6 0.835233160622
52 940 0.4 1.266321243523
52 940 0.5 1.013056994819
52 940 0.6 0.844214162349
52 950 0.4 1.279792746114
52 950 0.5 1.023834196891
52 950 0.6 0.853195164076
52 960 0.4 1.293264248705
52 960 0.5 1.034611398964
52 960 0.6 0.862176165803
52 970 0.4 1.306735751295
52 970 0.5 1.045388601036
52 970 0.6 0.871157167530
52 980 0.4 1.320207253886
52 980 0.5 1.056165803109
52 980 0.6 0.880138169257
52 990 0.4 1.333678756477
52 990 0.5 1.066943005181
52 990 0.6 0.889119170984
52 1000 0.4 1.347150259067
52 1000 0.5 1.077720207254
52 1000 0.6 0.898100172712
54 900 0.4 1.259067357513
54 900 0.5 1.007253886010
54 900 0.6 0.839378238342
54 910 0.4 1.273056994819
54 910 0.5 1.018445595855
54 910 0.6 0.848704663212
54 920 0.4 1.287046632124
54 920 0.5 1.029637305699
54 920 0.6 0.858031088083
54 930 0.4 1.301036269430
54 930 0.5 1.040829015544
54 930 0.6 0.867357512953
54 940 0.4 1.315025906736
54 940 0.5 1.052020725389
54 940 0.6 0.876683937824
54 950 0.4 1.329015544041
54 950 0.5 1.063212435233
54 950 0.6 0.886010362694
54 960 0.4 1.343005181347
54 960 0.5 1.074404145078
54 960 0.6 0.895336787565
54 970 0.4 1.356994818653
54 970 0.5 1.085595854922
54 970 0.6 0.904663212435
54 980 0.4 1.370984455959
54 980 0.5 1.096787564767
54 980 0.6 0.913989637306
54 990 0.4 1.384974093264
54 990 0.5 1.107979274611
54 990 0.6 0.923316062176
54 1000 0.4 1.398963730570
54 1000 0.5 1.119170984456
54 1000 0.6 0.932642487047
56 900 0.4 1.305699481865
56 900 0.5 1.044559585492
56 900 0.6 0.870466321244
56 910 0.4 1.320207253886
56 910 0.5 1.056165803109
56 910 0.6 0.880138169257
56 920 0.4 1.334715025907
56 920 0.5 1.067772020725
56 920 0.6 0.889810017271
56 930 0.4 1.349222797927
56 930 0.5 1.079378238342
56 930 0.6 0.899481865285
56 940 0.4 1.363730569948
56 940 0.5 1.090984455959
56 940 0.6 0.909153713299
56 950 0.4 1.378238341969
56 950 0.5 1.102590673575
56 950 0.6 0.918825561313
56 960 0.4 1.392746113990
56 960 0.5 1.114196891192
56 960 0.6 0.928497409326
56 970 0.4 1.407253886010
56 970 0.5 1.125803108808
56 970 0.6 0.938169257340
56 980 0.4 1.421761658031
56 980 0.5 1.137409326425
56 980 0.6 0.947841105354
56 990 0.4 1.436269430052
56 990 0.5 1.149015544041
56 990 0.6 0.957512953368
56 1000 0.4 1.450777202073
56 1000 0.5 1.160621761658
56 1000 0.6 0.967184801382
58 900 0.4 1.352331606218
58 900 0.5 1.081865284974
58 900 0.6 0.901554404145
58 910 0.4 1.367357512953
58 910 0.5 1.093886010363
58 910 0.6 0.911571675302
58 920 0.4 1.382383419689
58 920 0.5 1.105906735751
58 920 0.6 0.921588946459
58 930 0.4 1.397409326425
58 930 0.5 1.117927461140
58 930 0.6 0.931606217617
58 940 0.4 1.412435233161
58 940 0.5 1.129948186529
58 940 0.6 0.941623488774
58 950 0.4 1.427461139896
58 950 0.5 1.141968911917
58 950 0.6 0.951640759931
58 960 0.4 1.442487046632
58 960 0.5 1.153989637306
58 960 0.6 0.961658031088
58 970 0.4 1.457512953368
58 970 0.5 1.166010362694
58 970 0.6 0.971675302245
58 980 0.4 1.472538860104
58 980 0.5 1.178031088083
58 980 0.6 0.981692573402
58 990 0.4 1.487564766839
58 990 0.5 1.190051813472
58 990 0.6 0.991709844560
58 1000 0.4 1.502590673575
58 1000 0.5 1.202072538860
58 1000 0.6 1.001727115717
60 900 0.4 1.398963730570
60 900 0.5 1.119170984456
60 900 0.6 0.932642487047
60 910 0.4 1.414507772021
60 910 0.5 1.131606217617
60 910 0.6 0.943005181347
60 920 0.4 1.430051813472
60 920 0.5 1.144041450777
60 920 0.6 0.953367875648
60 930 0.4 1.445595854922
60 930 0.5 1.156476683938
60 930 0.6 0.963730569948
60 940 0.4 1.461139896373
60 940 0.5 1.168911917098
60 940 0.6 0.974093264249
60 950 0.4 1.476683937824
60 950 0.5 1.181347150259
60 950 0.6 0.984455958549
60 960 0.4 1.492227979275
60 960 0.5 1.193782383420
60 960 0.6 0.994818652850
60 970 0.4 1.507772020725
60 970 0.5 1.206217616580
60 970 0.6 1.005181347150
60 980 0.4 1.523316062176
60 980 0.5 1.218652849741
60 980 0.6 1.015544041451
60 990 0.4 1.538860103627
60 990 0.5 1.231088082902
60 990 0.6 1.025906735751
60 1000 0.4 1.554404145078
60 1000 0.5 1.243523316062
60 1000 0.6 1.036269430052
62 900 0.4 1.445595854922
62 900 0.5 1.156476683938
62 900 0.6 0.963730569948
62 910 0.4 1.461658031088
62 910 0.5 1.169326424870
62 910 0.6 0.974438687392
62 920 0.4 1.477720207254
62 920 0.5 1.182176165803
62 920 0.6 0.985146804836
62 930 0.4 1.493782383420
62 930 0.5 1.195025906736
62 930 0.6 0.995854922280
62 940 0.4 1.509844559585
62 940 0.5 1.207875647668
62 940 0.6 1.006563039724
62 950 0.4 1.525906735751
62 950 0.5 1.220725388601
62 950 0.6 1.017271157168
62 960 0.4 1.541968911917
62 960 0.5 1.233575129534
62 960 0.6 1.027979274611
62 970 0.4 1.558031088083
62 970 0.5 1.246424870466
62 970 0.6 1.038687392055
62 980 0.4 1.574093264249
62 980 0.5 1.259274611399
62 980 0.6 1.049395509499
62 990 0.4 1.590155440415
62 990 0.5 1.272124352332
62 990 0.6 1.060103626943
62 1000 0.4 1.606217616580
62 1000 0.5 1.284974093264
62 1000 0.6 1.070811744387
64 900 0.4 1.492227979275
64 900 0.5 1.193782383420
64 900 0.6 0.994818652850
64 910 0.4 1.508808290155
64 910 0.5 1.207046632124
64 910 0.6 1.005872193437
64 920 0.4 1.525388601036
64 920 0.5 1.220310880829
64 920 0.6 1.016925734024
64 930 0.4 1.541968911917
64 930 0.5 1.233575129534
64 930 0.6 1.027979274611
64 940 0.4 1.558549222798
64 940 0.5 1.246839378238
64 940 0.6 1.039032815199
64 950 0.4 1.575129533679
64 950 0.5 1.260103626943
64 950 0.6 1.050086355786
64 960 0.4 1.591709844560
64 960 0.5 1.273367875648
64 960 0.6 1.061139896373
64 970 0.4 1.608290155440
64 970 0.5 1.286632124352
64 970 0.6 1.072193436960
64 980 0.4 1.624870466321
64 980 0.5 1.299896373057
64 980 0.6 1.083246977548
64 990 0.4 1.641450777202
64 990 0.5 1.313160621762
64 990 0.6 1.094300518135
64 1000 0.4 1.658031088083
64 1000 0.5 1.326424870466
64 1000 0.6 1.105354058722
66 900 0.4 1.538860103627
66 900 0.5 1.231088082902
66 900 0.6 1.025906735751
66 910 0.4 1.555958549223
66 910 0.5 1.244766839378
66 910 0.6 1.037305699482
66 920 0.4 1.573056994819
66 920 0.5 1.258445595855
66 920 0.6 1.048704663212
66 930 0.4 1.590155440415
66 930 0.5 1.272124352332
66 930 0.6 1.060103626943
66 940 0.4 1.607253886010
66 940 0.5 1.285803108808
66 940 0.6 1.071502590674
66 950 0.4 1.624352331606
66 950 0.5 1.299481865285
66 950 0.6 1.082901554404
66 960 0.4 1.641450777202
66 960 0.5 1.313160621762
66 960 0.6 1.094300518135
66 970 0.4 1.658549222798
66 970 0.5 1.326839378238
66 970 0.6 1.105699481865
66 980 0.4 1.675647668394
66 980 0.5 1.340518134715
66 980 0.6 1.117098445596
66 990 0.4 1.692746113990
66 990 0.5 1.354196891192
66 990 0.6 1.128497409326
66 1000 0.4 1.709844559585
66 1000 0.5 1.367875647668
66 1000 0.6 1.139896373057
68 900 0.4 1.585492227979
68 900 0.5 1.268393782383
68 900 0.6 1.056994818653
68 910 0.4 1.603108808290
68 910 0.5 1.282487046632
68 910 0.6 1.068739205527
68 920 0.4 1.620725388601
68 920 0.5 1.296580310881
68 920 0.6 1.080483592401
68 930 0.4 1.638341968912
68 930 0.5 1.310673575130
68 930 0.6 1.092227979275
68 940 0.4 1.655958549223
68 940 0.5 1.324766839378
68 940 0.6 1.103972366149
68 950 0.4 1.673575129534
68 950 0.5 1.338860103627
68 950 0.6 1.115716753022
68 960 0.4 1.691191709845
68 960 0.5 1.352953367876
68 960 0.6 1.127461139896
68 970 0.4 1.708808290155
68 970 0.5 1.367046632124
68 970 0.6 1.139205526770
68 980 0.4 1.726424870466
68 980 0.5 1.381139896373
68 980 0.6 1.150949913644
68 990 0.4 1.744041450777
68 990 0.5 1.395233160622
68 990 0.6 1.162694300518
68 1000 0.4 1.761658031088
68 1000 0.5 1.409326424870
68 1000 0.6 1.174438687392
70 900 0.4 1.632124352332
70 900 0.5 1.305699481865
70 900 0.6 1.088082901554
70 910 0.4 1.650259067358
70 910 0.5 1.320207253886
70 910 0.6 1.100172711572
70 920 0.4 1.668393782383
70 920 0.5 1.334715025907
70 920 0.6 1.112262521589
70 930 0.4 1.686528497409
70 930 0.5 1.349222797927
70 930 0.6 1.124352331606
70 940 0.4 1.704663212435
70 940 0.5 1.363730569948
70 940 0.6 1.136442141623
70 950 0.4 1.722797927461
70 950 0.5 1.378238341969
70 950 0.6 1.148531951641
70 960 0.4 1.740932642487
70 960 0.5 1.392746113990
70 960 0.6 1.160621761658
70 970 0.4 1.759067357513
70 970 0.5 1.407253886010
70 970 0.6 1.172711571675
70 980 0.4 1.777202072539
70 980 0.5 1.421761658031
70 980 0.6 1.184801381693
70 990 0.4 1.795336787565
70 990 0.5 1.436269430052
70 990 0.6 1.196891191710
70 1000 0.4 1.813471502591
70 1000 0.5 1.450777202073
70 1000 0.6 1.208981001727
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